* Joint first author, **Joint corresponding author
Xu, G., Amei, A., Wu, W., Liu, Y., Shen, L., Oh, E.C. and Wang, Z., (2024). Retrospective varying coefficient association analysis of longitudinal binary traits: application to the identification of genetic loci associated with hypertension. The Annals of Applied Statistics, 18(1), pp.487-505.
Liu, Y., Zhao, J., Adams, T. S., Wang, N., Schupp, J. C., Wu, W., ... & Yan, X. (2023). iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC bioinformatics, 24(1), 318.
Jin, D.S., Neelakantan, U., Lacadie, C.M., Chen, T., Rooney, B., Liu, Y., Wu, W., Wang, Z., Papademetris, X. and Hoffman, E.J., (2023). Brain Registration and Evaluation for Zebrafish (BREEZE)-mapping: A pipeline for whole-brain structural and activity analyses. STAR protocols, 4(4), p.102647.
Mendes, H. W., Neelakantan, U., Liu, Y., Fitzpatrick, S. E., Chen, T., Wu, W., ... & Hoffman, E. J. (2023). High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways. Cell Reports, 42(3).
Wu, W. (2021). Improving Risk Factor Identification of Human Complex Traits in Omics Data (Doctoral dissertation, Yale University).
Wu, W., Liu, Y., Dai, Q., Yan, X., & Wang, Z. (2021). G2S3: a gene graph-based imputation method for single-cell RNA sequencing data. PLOS Computational Biology, 17(5), e1009029.
Dai, Q., Wu, W., Amei, A., Yan, X., Lu, L., & Wang, Z. (2020). Regulation and characterization of tumor-infiltrating immune cells in breast cancer. International Immunopharmacology, 107167.
Wu, W., Wang, Z., Xu, K., Zhang, X., Amei, A., Gelernter, J., ... & Wang, Z. (2019). Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use. Genetics, 213(4), 1225-1236.
Wu, W.**, Parmar, C., Grossmann, P., Quackenbush, J., Lambin, P., Bussink, J., ... & Aerts, H. J.** (2016). Exploratory study to identify radiomics classifiers for lung cancer histology. Frontiers in oncology, 6, 71.
Wu, W*., Feng, S.*, Wang, Y., Wang, N., Hao, H., & Wu, R. (2014). Systems mapping of genes controlling chemotherapeutic drug efficiency for cancer stem cells. Drug discovery today, 19(8), 1125-1130.
Zhou, L., Shen, Y., Wu, W., Wang, Z., Hou, W., Zhu, S., & Wu, R. (2014). A model for computing genes governing marital dissolution through sentimental dynamics. Journal of theoretical biology, 353, 24-33.
Sui, Y., Wu, W., Wang, Z., Wang, J., Wang, Z., & Wu, R. (2013). A case–control design for testing and estimating epigenetic effects on complex diseases. Briefings in bioinformatics, 15(2), 319-326.
Wang, Z., Pang, X., Wu, W., Wang, J., Wang, Z., & Wu, R. (2014). Modeling phenotypic plasticity in growth trajectories: a statistical framework. Evolution, 68(1), 81-91.
Zhai, Y., Lv, Y., Li, X., Wu, W., Bo, W., Shen, D., ... & Wu, R. (2014). A synthetic framework for modeling the genetic basis of phenotypic plasticity and its costs. New Phytologist, 201(1), 357-365.
Bo, W., Wang, Z., Xu, F., Fu, G., Sui, Y., Wu, W., ... & Wu, R. (2013). Shape mapping: genetic mapping meets geometric morphometrics. Briefings in bioinformatics, 15(4), 571-581.
Xu, F., Lyu, Y., Tong, C., Wu, W., Zhu, X., Yin, D., ... & Wu, R. (2013). A statistical model for QTL mapping in polysomic autotetraploids underlying double reduction. Briefings in bioinformatics, 15(6), 1044-1056.