PUBLICATIONS
PAPERS IN PRESS
This page has not been updated regularly since 2023
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Li, K., Li, J., Wang, X., Kuan, P. (2022). Mixture Network Regularization of Generalized Linear Model With Application in Genomics Data. bioRxiv, 678029.
Software: Rpackage glmaag [Article Link]Natale, G., Kritikos, M., Kuan, P., Carr, M., Yang, X., Yang, Y., Kotov, R., Bromet, E., Clouston, S., Luft, B (2023). Glial suppression and post-traumatic stress disorder: A cross-sectional study of 1,520 world trade center responders. Brain, Behavior, & Immunity-Health , 30, 100631
[PubMed] [Article Link]Kritikos, M., Diminich, E., Meliker, J., Mielke, M., Bennett, D., Finch, C., Gandy, S., Carr, M., Yang, X., Kotov, R., Kuan, P., Bromet, E., Clouston, S., Luft, B. (2023). Plasma amyloid beta 40/42, phosphorylated tau 181, and neurofilament light are associated with cognitive impairment and neuropathological changes among World Trade Center responders: A prospective cohort study of exposures and cognitive aging at midlife. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring , 15 (1): e12409
[PubMed] [Article Link]Gorlov, I., Conway, K., Edmiston, S., Parrish, E., Hao, H., Amos, C., Tsavachidis, S., Gorlova, O., Begg, C., Hernando, E., Cheng, C., Shen, R., Orlow, I., Luo, L., Ernstoff, M., Kuan, P., Ollila, D., Tsai, S., Berwick, M., Thomas N. (2023). Methylation of nonessential genes in cutaneous melanoma-Rule Out hypothesis. Melanoma Research , 33 (3): 163-172
[PubMed] [Article Link]Orlow, I., Sadeghi, K., Edmiston, S., Kenney, J., Lezcano, C., Wilmott, J., Cust, A., Scolyer, R., Mann, G., Lee, T., Burke, H., Jakrot, V., Shang, P., Ferguson, P., Boyce. T., Funchain, P., Ko, J., Ngo, P., Rees, J., O'Connell, K., Hao, H., Parrish, E., Conway, K., Googe, P., Ollila, D., Moschos, S., Hernando, E., Hanniford, D., Argibay, D., Amos, C., Lee, J., Osman, I., Luo, L., Kuan, P., Aurora, A., Rothberg, B., Bosenberg, M., Gerstenblith, M., Thompson, C., Bogner, P., Gorlov, I., Holmen, S., Brunsgaard, E., Saenger, Y., Shen, R., Seshan, V., Nagore, E., Ernstoff, M., Busam, K., Begg, C., Thomas, N., Berwick, M. (2023). InterMEL: An international biorepository and clinical database to uncover predictors of survival in early-stage melanoma. Plos one , 18 (4): e0269324
[PubMed] [Article Link]Mann, F., Clouston, S., Cuevas, A., Waszczuk, M., Kuan, P., Carr, M., Docherty, A., Shabalin, A., Gandy, S., Luft, B. (2023). Genetic Liability, Exposure Severity, and Post-Traumatic Stress Disorder (PTSD) Predict Cognitive Impairment in World Trade Center Responders. Journal of Alzheimer's Disease 1-12
[PubMed] [Article Link]Waszczuk, M., Kuan, P., Yang, X., Miao, J., Kotov, R., Luft, B. (2023). Discovery and replication of blood-based proteomic signature of PTSD in 9/11 responders. Translational Psychiatry 13 (1): 8
[PubMed] [Article Link]Feng, Q., Liu, P., Kuan, P., Zou, F., Chen, J., Li, J. (2023). A network approach to compute hypervolume under receiver operating characteristic manifold for multi-class biomarkers. Statistics in Medicine. 42 (6): 834-859
[Article Link]Cui, Y., Dong, G., Kuan, P., Huang, B. (2023). Evidence synthesis analysis with prioritized benefit outcomes in oncology clinical trials. Journal of Biopharmaceutical Statistics. 1-17
[Article Link]Song, J., Kuan, P. (2022). A systematic assessment of cell type deconvolution algorithms for DNA methylation data. Briefings in Bioinformatics. bbac449
Software: Rpackage methylDeConv [PubMed] [Article Link]Koraishy, F., Mann, F., Waszczuk, M., Kuan, P., Jonas, K., Yang, X., Docherty, A., Shabalin, A., Clouston, S., Kotov, R., Luft, B. (2022). Polygenic association of glomerular filtration rate decline in world trade center responders. BMC Nephrology. 23 (1): 1-10
[PubMed] [Article Link]Kuan, P., Yang, X., Kotov, R., Clouston, S., Bromet, E., Luft, B. (2022). Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders. Translational psychiatry. 12 (1): 1-7
[PubMed] [Article Link]Li, K. , Yao, S., Zhang, Z., Cao, B., Wilson, C., Kalos, D., Kuan, P., Zhu, R., Wang, X. (2022). Efficient gradient boosting for prognostic biomarker discovery. Bioinformatics. 38 (6): 1631-1638
[PubMed] [Article Link]Luo, L., Shen, R., Arora, A., Orlow, I., Busam, K., Lezcano, C., Lee, T., Hernando, E., Gorlov. I., Amos, C., Ernstoff, M., Seshan, V., Cust, A., Wilmott, J., Scolyer, R., Mann, R., Nagore, E., Funchain, P., Ko, J., Ngo, P., Edmiston, S., Conway, K., Googe, P., Ollila, D., Lee, J., Fang, F., Rees, J., Thompson. C., Gerstenblith, M., Bosenberg, M., Rothberg, B., Osman, I., Saenger, Y., Reynolds, A., Schwartz, M., Boyce, T., Holmen, S., Brunsgaard, E., Bogner, P., Kuan, P., Wiggins, C., Thomas, N., Begg, C., Berwick, M., InterMEL. (2022). Landscape of mutations in early stage primary cutaneous melanoma: An InterMEL study. Pigment Cell and Melanoma Research. 35 (6): 605-612
[PubMed] [Article Link]Clouston, S., Kritikos, M., Huang, C., Kuan, P., Vaska, P., Pellecchia, A., Santiago-Michels, S., Carr, M., Gandy, S., Sano, M., Bromet, E., Lucchini, R., Luft, B. (2022). Reduced cerebellar cortical thickness in World Trade Center responders with cognitive impairment. Translational psychiatry. 12 (1): 1-9
[PubMed] [Article Link]Podgorniak, T., Dhanasiri, A., Chen, X., Ren, X., Kuan, P., Fernandes, J. (2022). Early fish domestication affects methylation of key genes involved in the rapid onset of the farmed phenotype. Epigenetics. 1-18
[PubMed] [Article Link]Waszczuk, M, Docherty, A, Shabalin, A, Miao, M, Kuan, P., Bromet, E., Kotov, R., Luft. B.J. (2022). Polygenic Prediction of PTSD Trajectories in 9/11 Responders. Psychological Medicine. 52 (10): 1981-198.
[PubMed] [Article Link]Conway, K., Tsai, Y., Edmiston, S., Parker, J., Parrish, E., Hao, H., Kuan, P., Scott, G., Frank, J., Googe, P., Ollila, D., Thomas, N. (2022). Characterization of the CpG island hypermethylated phenotype (CIMP) subclass in primary melanomas. Journal of Investigative Dermatology. 142 (7): 1869-1881.e10.
[PubMed] [Article Link]Kuan, P., Yang, X., Ren, X. , Che, C. , Waszczuk, M., Kotov, R., Clouston, S., Singh, P., Glenn, S., Cortes Gomez, E., Wang, J., Bromet, E. and Luft, B. (2021). Mapping the transcriptomics landscape of post-traumatic stress disorder symptoms and dimensions in World Trade Center responders. Translational Psychiatry. 11 (1): 1-9
[PubMed] [Article Link]Kuan, P., Ren, X. , Clouston, S., Yang, X., Jonas, K., Kotov, R., Bromet, E. and Luft, B. (2021). PTSD is associated with accelerated transcriptional aging in World Trade Center responders. Translational Psychiatry. 11 (1): 1-8
[PubMed] [Article Link]Kuan, P., Clouston, S., Yang, X., Che, C. , Gandy, S., Kotov, R., Bromet, E., Luft, B. (2021). Single-cell transcriptomics analysis of mild cognitive impairment in World Trade Center disaster responders. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 13 (1): e12154
[PubMed] [Article Link]Koraishy, F., Coca, S., Cohen, B., Scherrer, J., Mann, F., Kuan, P., Luft, B., Clouston, S. (2021). The Association of Post-Traumatic Stress Disorder with longitudinal change in Glomerular Filtration Rate in World Trade Center responders. Psychosomatic Medicine. In Press
[PubMed] [Article Link]Chen, A., Clouston, S., Kritikos, M., Richmond, L., Meliker, J., Mann, F., Santiago-Michels, S., Pellecchia, A., Carr, M., Kuan, P., Bromet, E., Luft, B. (2021). A deep learning approach for monitoring parietal-dominant Alzheimer's disease at midlife. Brain Communications. 3 (3): fcab145
[PubMed] [Article Link]Wilson, C., Li, K. , Sun, Q., Kuan, P. , Wang, X. (2021). Fenchel duality of Cox partial likelihood with an application in survival kernel learning. Artificial Intelligence In Medicine. 116: 102077
[PubMed] [Article Link]Diminich, E., Clouston, S., Kranidis, A., Kritikos, M., Kotov, R., Kuan, P., Carr, M., Bromet, E., Luft, B. (2021). Chronic posttraumatic stress disorder and comorbid cognitive and physical impairments in World Trade Center responders. Journal of Traumatic Stress. 34 (3): 616-627.
[PubMed] [Article Link]Kuan, P., Clouston, S., Yang, X., Kotov, R., Bromet, E. and Luft, B.J. (2020). Molecular linkage between post-traumatic stress disorder and cognitive impairment: a targeted proteomics study of World Trade Center responders. Translational Psychiatry. 10 (1): 1-15
[PubMed] [Article Link]Ren, X., Kuan, P. (2020). RNAAgeCalc: A multi-tissue transcriptional age calculator. PLOS One. 15 (8): e0237006
Software: Rpackage RNAAgeCalc [PubMed] [Article Link]Ren, X., Kuan, P. (2019). Negative Binomial Additive Model for RNA-Seq Data Analysis. BMC Bioinformatics. (21): 1-15
Software: Rpackage NBAMSeq [PubMed] [Article Link]Smith, A.K., Ratanatharathorn, A., Maihofer, A.X., Naviaux, R.K., ..., Kuan, P., ..., Uddin, M., Nievergelt, C. M. (2020). Epigenome-wide meta-analysis of PTSD across 10 military and civilian cohorts identifies methylation changes in AHRR. Nature Communications. 11 (1): 1-9
[PubMed] [Article Link]Yang, J., Kuan, P., Li, J. (2020). Non-monotone transformation of biomarkers to improve diagnostic and screening accuracy in a DNA methylation study with trichotomous phenotypes. Statistical Methods in Medical Research. 29 (8): 2360-2389.
[PubMed] [Article Link]Clouston, S., Kuan, P., Kotov, R., Mukherjee, S., Thompson-Carino, P., Bromet, E., Luft, B. (2019). Risk factors for incident prostate cancer in a cohort of world trade center responders. BMC Psyhiatry. 19 (1): 1-8
[PubMed] [Article Link]Wilson, C., Li, K., Yu, X., Kuan, P., Wang, X. (2019). Multiple-kernel learning for genomic data mining and prediction. BMC Bioinformatics. 20 (1): 426
[PubMed] [Article Link]Kuan, P., Yang, X., Ren, X., Kotov, R., Clouston, S., Waszczuk, M., Singh, P., Glenn, S., Cortes Gomez, E., Wang, J., Bromet, E., Luft, B. (2019). Cell type specific gene expression patterns associated with posttraumatic stress disorder in World Trade Center responders. Translational Psychiatry. 9 (1): 1-11
[PubMed] [Article Link]Thomas, N., Edmiston, S., Tsai, Y., Parker, J., Googe, P., Busam, K., Scott,, G., Zedek, D., Parrish, E., Hao, H., Slater, N., Pearlstein, M., Frank, J., Kuan, P., Ollila, D., Conway, K. (2019). Utility of TERT Promoter Mutations for Cutaneous Primary Melanoma Diagnosis. The American Journal of Dermatopathology. 41 (4): 264-272
[PubMed] [Article Link]Li, K., He, K., Nie, L., Zhu, W., Kuan, P. (2019) Nonparametric Tests for Jump Detection via False Discovery Rate Control: A Monte Carlo Study. Journal of Risk Model Validation. 13 (3): 23-44
Software: Rpackage JumpTest [Article Link]Conway, K., Edmiston, S., Parker, J., Kuan, P., Tsai, Y., Groben, P., Zedek, D., Scott, G., Frank, J., Parrish, E., Carson, C., Hao, H., Pearlstein, M., Wilkerson, M., Zhao, X., Moschos, S., Ollila, D., Thomas, N. (2019). Identification of a robust methylation predictor for melanoma diagnosis. Journal of Investigative Dermatology. 139 (6): 1349-1361
[PubMed] [Article Link]Ren, X., Kuan, P. (2019). methylGSA: a Bioconductor package and Shiny app for DNA methylation data length bias adjustment in gene set testing. Bioinformatics. 35 (11): 1958-1959
Software: Rpackage methylGSA [PubMed] [Article Link]Kuan, P., Mi, Z., Georgopoulos, P., Luft, B., Boffetta, P. (2019). Enhanced exposure assessment and genome-wide DNA methylation in World Trade Center disaster responders. European Journal of Cancer Prevention. 28 (3): 225-233
[PubMed] [Article Link]Huang, B., Talukder, E., Han, L., Kuan, P. (2019). Quantitative Decision Criteria in Phase 2 Oncology Clinical Trials. Journal of Biopharmaceutical Statistics. 29 (1): 189-202.
[PubMed] [Article Link]Thomas, N.,Edmiston, S., Tsai, Y., Parker, J., Googe, P., Busam, K., Groben, P., Scott, G., Zedek, D., Parrish, E., Hao, H., Slater, N., Pearlstein, M., Frank, J., Kuan, P., Ollila, D., Conway, K. (2019). Utility of TERT promoter mutations for cutaneous primary melanoma diagnosis. The American Journal of Dermatopathology. 41 (1): 264-272.
[PubMed] [Article Link]Uddin, M., Ratanatharathorn, A., Armstrong, D., Kuan, P., Aiello, A., Bromet, E., Galea, S., Koenen, K., Luft, B., Ressler, K., Wildman, D., Nievergelt, C., Smith, A. (2018). Epigenetic meta-analysis across three civilian cohorts identifies NRG1 and HGS as blood-based biomarkers for post-traumatic stress disorder. Epigenomics. 10 (12): 1585-1601.
[PubMed] [Article Link]Wu, M., Kuan, P. (2018). A Guide to Illumina BeadChip Data Analysis. Methods Mol Biol., 1708: 303-330. [PubMed] [Article Link]
Huang, B., Kuan, P. (2018). Comparison of the restricted mean survival time with the hazard ratio superiority trials with a time-to-event endpoint. Pharmaceutical Statistics, 17: 202-213. [PubMed] [Article Link]
Kuan, P., Waszczuk, M., Kotov, R., Marsit, C., Guffanti, G., Yang, X., Koenen, K., Bromet, E., Luft, B. (2017). An epigenome-wide DNA methylation study of PTSD and depression in World Trade Center responders. Translational Psychiatry, 7(6): e1158. [PubMed] [Article Link]
Kuan, P., Powers, S., He, S., Li, K., Zhao, X., Huang, B. (2017). A systematic evaluation of nucleotide properties for CRISPR sgRNA design. BMC Bioinformatics, 18: 297.
Software: Rpackage predictSGRNA [PubMed] [Article Link]Kuan, P., Waszczuk, M., Kotov, R., Yang, X., Singh, P., Glenn, S., Cortes Gomez, E., Wang, J., Bromet, E., Luft, B. (2017). Gene expression associated with PTSD in World Trade Center responders: An RNA sequencing study. Translational Psychiatry, 7:1297. [PubMed] [Article Link]
Kuan, P., Song, J., He, S. (2017). methyldmv: Simultaneous detection of differential DNA methylation and variability with confounder adjustment. Pacific Symposium of Biocomputing, 22: 461-472.
Software: Rpackage methylDMV [PubMed] [Article Link]Poe, J., Jia, W., Su, H., Anand, S., Rose, J., Tata, P., Suthers, A., Jones, C., Kuan, P., Vincent, B., Serody, J., Horwitz, Pavletic, S., Hakim, F., Owzar, K., Zhang, D., Blazar, B., Siebel, C., Chao, N., Maillard, I., Sarantopoulos, S. (2017) An Aberrant NOTCH2-BCR Signaling Axis in B Cells from Patients with Chronic GVHD. Blood, 130 (19): 2131-2145. [PubMed] [Article Link]
Ratanatharathorn, A., Boks, M., Maihofer, A., Aiello, A., Amstadter, ., Ashley-Koch, A., Baker, D., Beckham, J., Bromet, E., Dennis, M., Garrett, M., Geuze, E., Guffanti, G., Hauser, M., Kilaru, V., Kimbrel, N., Koenen, K., Kuan, P., Logue, M., Luft, B., Miller, M., Mitchell, C., Nugent, N., Ressler, K., Rutten, B., Stein, M., Vermetten, E., Vinkers, C., Youssef, N., Uddin, M., Nievergelt, C., Smith, A. (2017) Epigenome-wide Association of PTSD from Heterogeneous Cohorts with a Common Multi-Site Analysis Pipeline. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 174(6): 619-630. [PubMed] [Article Link]
Conway, K., Edmiston, S., Parrish, E., Bryant, C., Tse, C., Swift-Scanlan, T., McCullough, L., Kuan, P. (2017) Breast tumor DNA methylation patterns associated with smoking in the Carolina Breast Cancer Study. Breast Cancer Research and Treatment, 163(2): 349-361. [PubMed] [Article Link]
Kuan, P., Huang, B. (2016). Opportunities of enrichment designs in the era of precision medicine. In JSM Proceedings, Biopharmaceutical Section, Marriott Wardman Park, Washington D.C.: American Statistical Association., 3990-4001. [Article Link]
Huang, B., Kuan, P. (2016). Improved Designs and Analyses of Safety and Efficacy in Immuno-Oncology. In JSM Proceedings, Biopharmaceutical Section, Chicago, Illinois: American Statistical Association, 1001-1013. [Article Link]
Sun, W., Liu, Y., Crowley, J., Chen, T., Zhou, H., Chu, H., Huang, S., Kuan, P., Li, Y., Miller, D., Shaw, G., Wu, Y., Zhabotynsky, V., McMillan, L., Zou, F., Sullivan, P., de Villena, F. (2015). IsoDOT Detects Differential RNA-isoform Usage with respect to a Categorical or Continuous Covariate with High Sensitivity and Specificity. Journal of the American Statistical Association, 110 (511): 975-986. [PubMed] [Article Link]
Stuhlmiller, T., Miller, S., Zawistowski, J., Nakamura, K., Beltran, A., Duncan, J., Angus, S., Collins, K., Granger, D., Reuther, R., Graves, L., Gomez, S., Kuan, P., Parker, J., Chen, X., Sciaky, N., Carey, L., Earp, H., Jin, J., Johnson, G. (2015). Inhibition of Lapatinib-Induced Kinome Reprogramming in ERBB2-Positive Breast Cancer by Targeting BET Family Bromodomains. Cell Reports, 11 (3): 390-404. [PubMed] [Article Link]
Xiong, L., Kuan, P., Tian, J., Keles, S., Wang, S. (2015). Multivariate boosting for integrative analysis of high dimensional cancer genomic data. Cancer Informatics, 13 (Suppl 7): 123-31. [PubMed] [Article Link]
Conway, K., Edmiston, S., Tse, C., Bryant, C., Kuan, P., Hair, B., Parrish, E., May, R., Swift-Scanlan, T. (2015). Racial variation in breast tumor promoter methylation in the Carolina Breast Cancer Study. Cancer Epidemiology, Biomarkers and Prevention, 24 (6): 921- 930. [PubMed] [Article Link]
Carson, C., Moschos, S., Edmiston, S., Darr, D., Nikolaishvili-Feinberg, N., Groben, P.,Zhou, X., Kuan, P., Pandey, S., Chan, K., Jordan, J., Hao, H., Frank, J., Hopkinson, D., Gibbs, C., Alldredge, V., Parrish, E., Hanna, S., Berkowitz, P., Rubenstein, D., Miller, R., Bear, J., Ollila, D., Sharpless, N., Conway, K., Thomas, N. (2015). IL-2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma. Clinical Cancer Research, 21 (9): 2167- 2176. [PubMed] [Article Link]
Kuan, P. (2014). Covariate adjusted differential variability analysis of DNA methylation with propensity score method. Statistical Applications in Genetics and Molecular Biology, 13 (6): 645-658. [PubMed] [Article Link]
Kuan, P. (2014). Propensity score method for partially matched omics studies. Cancer Informatics, 13 (Suppl 7): 1-10. [PubMed] [Article Link]
Huang, B., and Kuan, P. (2014). Time-to-event continual reassessment method incorporating treatment cycle information with application to an oncology phase I trial. Biometrical Journal, 56 (6): 933-946. [PubMed] [Article Link]
Conway, K., Edmiston, S., May, R., Kuan, P., H, Chu., Bryant, C., Tse, C., Swift-Scanlan, T., Troester, M., Geradts, J., Millikan, R. (2014). DNA methylation profiling in the Carolina Breast Cancer Study defines cancer subclasses differing in clinicopathologic characteristics. Breast Cancer Research, 16 (5): 450. [PubMed] [Article Link]
Speck, O., Tang, W., Morgan, D., Kuan, P., Meyes, M., Dominguez, R., Martinez, E., Gulley, M. (2014). Three molecular subtypes of gastric adenocarcinoma have distinct histochemical features reflecting Epstein-Barr virus infection status and neuroendocrine differentiation. Applied Immunohistochemistry and Molecular Morphology, 23 (9): 633-645. [PubMed] [Article Link]
Thomas, N., Slater, N., Edmiston, S., Zhou, X., Kuan, P., Groben, P., Carson, C., Hao, H., Parrish, E., Moschos, S., Berwick, M., Ollila, D., Conway, K. (2014) DNA-methylation Profiles in Primary Cutaneous Melanomas are Associated with Clinically Significant Pathologic Features. Pigment Cell and Melanoma Research, 27 (6): 1097-1105. [PubMed] [Article Link]
Taylor, J., Zhang, T., Herenu, C., Messi, M., Wang, Z., Kuan, P., Delbono, O. (2014). The Cavβ1a subunit is a transcription factor that suppresses myogenin in muscle progenitor cells. Journal of Cell Biology, 205 (6) 829-846. [PubMed] [Article Link]
Makowski, L., Zhou, C., Zhong, Y., Kuan, P., Cheng, F., Difurio, M., Bae-Jump, V. (2014). Obesity increases tumor aggressiveness in a genetically engineered mouse model of serous ovarian cancer. Gynecologic Oncology, 133 (1): 90-97. [PubMed] [Article Link]
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Wu, M., Joubert, B. Kuan, P., Haberg, S., Nystad, W., Peddada, S., London, S. (2014). A Systematic Assessment of Normalization Approaches for the Infinium 450k Methylation Platform. Epigenetics, 9 (2): 318-329. [PubMed] [Article Link]
Simon, J., Hacker, K., Singh, D., Brannon, A., Parker, J., Weiser, M., Ho, T., Kuan, P., Jonasch, E., Furey, T., Prins, J., Lieb, J., Rathmell, K., Davis. I. (2014). Variation in chromatin accessibility in human kidney cancer links H3K36 methyltransferase loss with widespread RNA processing defects. Genome Research, 24 (2): 241-250. [PubMed] [Article Link]
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Kuan, P., and Huang, B. (2013). A Simple and Robust Method for Partially Matched Samples Using the P-Values Pooling Approach. Statistics in Medicine, 32 (19): 3247-3259. [PubMed] [Article Link]
Hu, Y., Huang, Y., Du, Y., Orellana, C., Singh, D., Johnson, A., Monroy, A., Kuan, P. , Hammond, S., Makowski, L., Randell, S., Chiang, D., Hayes, D., Jones, C., Liu, Y., Prins, J., Liu, J. (2013). DiffSplice: the Genome-Wide Detection of Differential Splicing Events with RNA-seq. Nucleic Acids Research, 41 (2): e39. doi: 10.1093/nar/gks1026. [PubMed] [Article Link]
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Huff, L., DeCristo, M., Trembath, D., Kuan, P., Yim, M., Liu, J., Cook, D., Miller, C., Der, C., Cox, A. (2013). The role of Ect2 nuclear RhoGEF activity in ovarian cancer cell transformation. Genes & Cancer, 4 (11-12): 460-475. [PubMed] [Article Link]
Cooper, M., Cox, N., Zimmerman, E., Dewar, B., Duncan, J., Whittle, M., Nguyen, T., Jones, L., Ghoseroy, S., Smalley, D., Kuan, P., Richards, K., Christopherson, R., Jin, J., Frye, S., Johnson, G., Baldwin, A., Graves, L. (2013). Application of Multiplexed Kinase Inhibitor Beads to Study Kinome Adaptations in Drug Resistant Leukemia. PLoS One, 8 (6): e66755. [PubMed] [Article Link]
Hanna, S., Krishnan, B., Bailey, S., Moschos, S., Kuan, P., Shimamura, T., Osborne, L., Siegel, M., Duncan, L., O'Brien, T., Superfine, R., Miller, R., Simon, C., Wong, K., Kim, W. (2013). HIF1-alpha and HIF2-alpha independently activate SRC to promote melanoma invasion and metastases. Journal of Clinical Investigation, 123 (5): 2078-2093. [PubMed] [Article Link]
Schlegel, J., Sambade, M., Sather, S., Moschos, S., Tan, A., Wingers, A., DeRykere, D., Carson, C., Trembath, D., Tentler, J., Eckhardt, G., Kuan, P., Hamilton, R., Duncan, L., Miller, R., Nikolaishvili-Feinberg, N., Midkiff, B., Wang, X., Liu, J., Zhang, W., Yang, C., Frye, S., Earp, S., Shields, J., Graham, D. (2013). MERTK receptor tyrosine kinase is a therapeutic target in melanoma. Journal of Clinical Investigation, 123 (5): 2257-2267. [PubMed] [Article Link]
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Kuan, P., and Chiang, D. (2012). Integrating Prior Knowledge in Multiple Testing under Dependence with Applications to Detecting Differential DNA Methylation. Biometrics, 68 (3): 774-783.
Software: Rpackage NHMMfdr [PubMed] [Article Link] -
Huebert, D.J., Kuan, P., Keles, S., and Gasch, A.P. (2012). Dynamic changes in nucleosome occupancy are not predictive of gene expression dynamics but linked to transcription and chromatin regulators. Molecular and Cellular Biology, 32 (9): 1645-1653. [PubMed] [Article Link]
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Duncan, J., Whittle, M., Nakamura, K., Abell, A., Midland, A., Zawistowski, J., Johnson, N., Granger, D., Jordan, N., Darr, D., Usary, J., Kuan, P., Smalley, D., Major, B., He, X., Hoadley, K., Sharpless, N., Perou, C., Gomez, S., Chen, X., Jin, J., Frye, S., Earp, S., Graves, L., and Johnson, G. (2012). Dynamic Reprogramming of the Kinome in Response to Targeted MEK Inhibition in Triple Negative Breast Cancer. Cell, 142 (2): 307-321. [PubMed] [Article Link]
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Tang, W., Morgan, D., O Meyers, M., Dominguez, R., Martinez, E., Kakudo, K., Kuan, P., Banet, N., Muallem, H., Woodward, K., Speck, O., Gulley, M. (2012). Epstein-Barr Virus Infected Gastric Adenocarcinoma Expresses Latent and Lytic Viral Transcripts and has a Distinct Human Gene Expression Profile. Infectious Agents and Cancer, 7 (21), doi:10.1186/1750-9378-7-21. [PubMed] [Article Link]
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Wang, P., Dong, Q., Chong, Z., Kuan, P., Liu, Y., Jeck, W., Jiang, W., Savich, G., Tan, T., Andersen, J., Auman, T., Hoskins, J., Misher, A., Moser, C., Yourstone, S., Kim, J., Cibulskis, K., Getz, G., Hunt, H.,Thorgeirsson, S., Roberts, L., Ye, D., Guan, K., Xiong, Y., Qin, L., Chiang, D.Y. (2012). Mutations in Isocitrate Dehydrogenase 1 and 2 are Associated with DNA Hypermethylation in Intrahepatic Cholangiocarcinomas. Oncogene, 32 (25): 3091-3100. [PubMed] [Article Link]
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Sampey, B., Freemerman, A., Zhang, J., Kuan, P., Galanko, J., O'Connell, T., Ilkayeva, O., Muehlbauer, M., Stevens, R., Newgard, C., Brauer, H., Troester, M., and Makowski, L. (2012). Mitochondrial-Derived Lipid Biomarkers that Drive Obesity-Associated Inflammation. PLoS One, 7 (6): e38812.
doi:10.1371/journal.pone.0038812. [PubMed] [Article Link] Kuan, P., Chung, D., Pan, G., Thomson, J., Stewart, R., and Keles, S. (2011). A Statistical Framework for the Analysis of ChIP-Seq Data. Journal of the American Statistical Association, doi:10.1198/jasa.2011.ap09706.
Software: Rpackage mosaics [PubMed] [Article Link]-
Chung, D., Kuan, P., Li, B., Sanalkumar. R., Liang, K., Bresnick, E., Dewey, C., and Keles, S. (2011). Discovering transcription factor binding sites in highly repetitive regions of genomes with multi-read analysis of ChIP-seq data. PLoS Computational Biology, 7 (7): e1002111. doi:10.1371/journal.pcbi.1002111. [PubMed] [Article Link]
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Stevens, E., Banet, N., Onesto, C., Plachco, A., Alan, J., Nikolaishvili-Feinberg, N., Midkiff, B., Kuan, P., Liu, J., Miller, R., Vigil, D., Graves, L., and Channing-Der J. (2011). RhoGDI2 antagonizes ovarian carcinoma growth, invasion and metastasis. Small GTPases, 2 (4): 202-210. [PubMed] [Article Link]
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Chu, H., Lofgren, E., Halloran, M.E., Kuan, P., Hudgens, M., and Cole, S.R. (2011). Performance of rapid influenza H1N1 diagnostic tests: a meta-analysis. Influenza and Other Respiratory Viruses, 6 (2): 80-86. [PubMed] [Article Link]
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Conway, K., Edmiston, S., Khondker, Z., Groben, P., Zhou, X., Chu, H., Kuan, P., Hao, H., Carson, C., Berwick, M., Olilla, D., and Thomas, N. (2011). DNA-methylation profiling distinguishes malignant melanomas from benign nevi. Pigment Cell & Melanoma Research, 24 (2): 352-360. [PubMed] [Article Link]
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Kuan, P., Wang, S., Zhou, X., and Chu, H. (2010). A statistical framework for Illumina DNA methylation arrays. Bioinformatics, 26 (22): 2849-2855.
Software: Rpackage LumiWCluster [PubMed] [Article Link] -
Zacher, B., Kuan, P., and Tresch, A. (2010). Starr: Simple Tiling ARRay analysis of Affymetirx ChIP-chip data. BMC Bioinformatics, 11 (194): doi:10.1186/1471- 2105-11-194. [PubMed] [Article Link]
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Kuan, P., Huebert, D., Gasch, A., and Keles, S. (2009). A non-homogeneous hidden state model on first order differences for automatic detection of nucleosome positions. Statistical Applications in Genetics and Molecular Biology, 8, Article 29. [PubMed] [Article Link]
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Peters, J., Mooney, R. A., Kuan, P., Rowland, J., Keles, S. and Landick, R. (2009). Rho directs widespread termination of intragenic and stable RNA transcription. PNAS, 106 (36): 15406-15411. [PubMed] [Article Link]
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Kuan, P., Chun, H., and Keles, S. (2008). CMARRT: A tool for the analysis of ChIP-Chip data from tiling arrays by incorporating the correlation structure. Pac Symposium of Biocomputing, 515-526.
Software: Rpackage CMARRT [PubMed] [Article Link] Wei, H.*,Kuan, P.*, Tian, S., Yang, C., Nie, J., Sengupta, S., Ruotti, V., Jonsdottir, G.A., Keles, S., Thomson, J.A., and Stewart, R. (2008). A study of the relationships between oligonucleotide properties and hybridization signal intensities from NimbleGen microarray datasets. Nucleic Acids Research, 36 (9): 2926-2938. * Joint first authors [PubMed] [Article Link]
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Zhang, X.D., Kuan, P., Ferrer, M., Shu, X., Liu, Y.C., Gates, A.T., Kunapuli, P., Stec, E.M., Xu, M., Marine S.D., Holder, D.J., Strulovici, B., Heyse, J.F., and Espeseth, A.S. (2008). Hit selection with false discovery rate control in genome-scale RNAi screens. Nucleic Acids Research, 36 (14): 4667-4679. [PubMed] [Article Link]
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Chung, N., Zhang, X.D., Kreamer, A., Locco, L., Kuan, P., Bartz, S., Linsley, P.S., Ferrer, M., and Strulovici, B. (2008). Median absolute deviation to improve hit selection for genome-scale RNAi screens. Journal of Biomolecular Screening, 13 (2): 149-158. [PubMed] [Article Link]
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Kuan, P., Pan, G., Thomson, J., Stewart, R., and Keles, S. (2010). A hierarchical semi-Markov model for detecting enrichment with application to ChIP-Seq experiments. [Article Link]
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Kuan, P. (2009). Statistical methods for the analysis of genomic data from tiling arrays and next generation sequencing technologies. Ph.D. Dissertation, University of Wisconsin-Madison. [Article Link]