xxvwang@ucdavis

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Research

My research interests include Statistical Computing, Meta-Analysis of Heterogeneous Signals, High-Dimention Clustering, and Statistical Learning with applications to Statistical Genomics and Genetics.

Publications

Methodology

  1. Wenjia Wang, Yusi Fang, Chung Chang, George Tseng (2023+). “Accurate and ultra-efficient p-value calculation for higher criticism tests.” Journal of Computational and Graphical Statistics.
  2. Yujia Li, Peng Liu, Wenjia Wang, Wei Zong, Yusi Fang, Zhao Ren, Lu Tang, George C. Tseng (2023+). “Outcome-guided Disease Subtyping by Generative Model and Weighted Joint Likelihood in Transcriptomic Applications.” The Annals of Applied Statistics, minor revision.(co-first author)

Application

  1. Liu Silvia, Yu Yan-Ping, Ren Bao-Guo, Ben-Yehezkel Tuval, Obert Caroline, Smith Mat, Wang Wenjia, Ostrowska Alina, Soto-Gutierrez Alejandro, Luo Jian-Hua (2023). "Long-read single-cell sequencing reveals expressions of hypermutation clusters of isoforms in human liver cancer cells." eLife.
  2. Yuan Gui, Yanbao Yu, Wenjia Wang, Yuanyuan Wang, Hanyue Lu1, Sarah Mozdzierz, Eskander, Kirollos, Yi-Han Lin, Hanwen Li, Xiaojun Tian, Silvia Liu, Dong Zhou (2023+). “Proteomes characterization of liver-kidney comorbidity after microbial sepsis.” iScience, submitted.
  3. Silas A. Buck, Sophie A. Rubin, Tenzin Kunkhyen, Christoph D. Treiber, Xiangning Xue, Lief E. Fenno, Samuel J. Mabry, Varun R. Sundar, Zilu Yang, Divia Shah, Kyle D. Ketchesin, Darius D. Becker-Krail, Iaroslavna Vasylieva, Megan C. Smith, Florian J. Weisel, Wenjia Wang, M. Quincy Erickson-Oberg, Emma I. O’Leary, Eshan Aravind, Charu Ramakrishnan, Yoon Seok Kim, Yanying Wu, Matthias Quick, Jonathan A. Coleman, William A. MacDonald, Rania Elbakri, Briana R. De Miranda, Michael J. Palladino, Brian D. McCabe, Kenneth N. Fish, Marianne L. Seney, Stephen Rayport, Susana Mingote, Karl Deisseroth, Thomas S. Hnasko, Rajeshwar Awatramani, Alan M. Watson, Scott Waddell, Claire E. J. Cheetham, Ryan W. Logan, Zachary Freyberg (2023+) “Sexually dimorphic mechanisms of VGLUT-mediated protection from dopaminergic neurodegeneration.” Neuron, submitted.

Manuscripts in Prepartion

Methodology

  1. Wenjia Wang, Yusi Fang, Chung Chang, George Tseng (2023+). “Combining p-values: historical development, recent advances and future opportunities.” manuscript in preparation.
  2. Wenjia Wang, Silvia Liu, George Tseng (2023+). "IFDlong: an isoform fusion detector on long-read RNA-seq data." to be submitted within this year.

Application

  1. Liu Silvia, Wenjia Wang (2023+). “Utility analyses of AVITI sequencing platforms.” to be submitted in a month.
  2. The project collaborating with Dean and Silvia about scRNA analysis starting in January 2023, maybe second or third authorship. not sure the timeline (TBD).
  3. The project collaborating with Dr.Dong Zhou and Silvia about IPA pathway analysis and network visualization starting in May 2023, middle authorship. not sure the timeline hopefully within this year (TBD).
  4. Metabolomic data analysis collaborating with Liza, starting in December 2020. finish the method writing but not sure the timeline (TBD).
  5. scRNAseq SI papers collaborating with Liza and Weihong, starting in October 2022. Weihong is putting together one of the papers but not sure the timeline (TBD).
  6. project of scRNAseq of mouse livers collaborating with Liza and Mohan Krishnan.Mohan Krishnan almost finalized the analysis but not sure the timeline (TBD).

Paper Review

  1. The Journal of Emerging Investigators
  2. PLOS Digital Health

Selected Courses Taken

  • BIOST2054: Survival Analysis, Spring 2022, University of Pittsburgh
  • ML10707: Advanced Deep Learning, Spring 2022, Carnegie Mellon University
  • ML10301/601: Introduction to Machine Learning, Fall 2021, Carnegie Mellon University
  • STAT2221: Advanced Applied Multivariate Analysis, Fall 2021, University of Pittsburgh
  • BIOST2086: Applied Mixed Models Analysis, Spring 2021, University of Pittsburgh
  • BIOST2050: Longitudinal and Clustered Data Analysis, Fall 2020, University of Pittsburgh
  • STA243: Computational Statistics, Spring 2019, University of California, Davis
  • STA138: Analysis of Categorical Data, Fall 2018, University of California, Davis

Awards

  • ASA Sections on Computing and Graphics Student Paper Award, 2023
  • Excellent Graduate of East China Normal University, 2017
  • Scholarship of Academic Excellence, 2016, East China Normal University
  • Scholarship of Academic Excellence, 2015, East China Normal University
  • University-level First Prize of Daxia Fund Projecrt, 2015, East China Normal University
  • Scholarship of Academic Excellence, 2014, East China Normal University
  • Second Prize in National Olympic Biology Competition,2012