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2020 – today
- 2024
[j12]Sarah Samorodnitsky, Michael C. Wu:
Statistical analysis of multiple regions-of-interest in multiplexed spatial proteomics data. Briefings Bioinform. 25(6) (2024)- [j11]Mo Li
, Xing Hua, Shuai Li, Michael C. Wu, Ni Zhao:
A multi-bin rarefying method for evaluating alpha diversities in TCR sequencing data. Bioinform. 40(7) (2024) - 2023
- [j10]Hoseung Song, Wodan Ling, Ni Zhao, Anna M. Plantinga, Courtney A. Broedlow, Nichole R. Klatt, Tiffany Hensley-McBain, Michael C. Wu:
Accommodating multiple potential normalizations in microbiome associations studies. BMC Bioinform. 24(1): 22 (2023) - 2022
- [j9]Tianying Wang, Wodan Ling, Anna M. Plantinga, Michael C. Wu, Xiang Zhan:
Testing microbiome association using integrated quantile regression models. Bioinform. 38(2): 419-425 (2022) - [j8]Meiling Liu, Juna Goo, Yang Liu, Wei Sun, Michael C. Wu, Li Hsu, Qianchuan He:
TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypes. BMC Bioinform. 23(1): 152 (2022) - 2021
- [j7]Meiling Liu, Yang Liu, Michael C. Wu, Li Hsu, Qianchuan He:
A method for subtype analysis with somatic mutations. Bioinform. 37(1): 50-56 (2021) - [j6]Nehemiah Wilson, Ni Zhao, Xiang Zhan, Hyunwook Koh, Weijia Fu, Jun Chen, Hongzhe Li, Michael C. Wu, Anna M. Plantinga:
MiRKAT: kernel machine regression-based global association tests for the microbiome. Bioinform. 37(11): 1595-1597 (2021) - [c2]Wodan Ling, Youran Qi, Xing Hua, Michael C. Wu:
Deep ensemble learning over the microbial phylogenetic tree (DeepEn-Phy). BIBM 2021: 470-477 - [c1]Hongjiao Liu, Anna M. Plantinga, Yunhua Xiang, Michael C. Wu:
A Kernel-based Test of Independence for Cluster-correlated Data. NeurIPS 2021: 9869-9881
2010 – 2019
- 2019
- [j5]Anna M. Plantinga, Jun Chen, Robert R. Jenq, Michael C. Wu:
pldist: ecological dissimilarities for paired and longitudinal microbiome association analysis. Bioinform. 35(19): 3567-3575 (2019) - [j4]Rachel Marceau West, Wenbin Lu, Daniel M. Rotroff, Mélaine A. Kuenemann, Sheng-Mao Chang, Michael C. Wu, Michael J. Wagner, John B. Buse, Alison A. Motsinger-Reif, Denis Fourches, Jung-Ying Tzeng:
Identifying individual risk rare variants using protein structure guided local tests (POINT). PLoS Comput. Biol. 15(2) (2019) - 2018
- [j3]Sebastian J. Teran Hidalgo, Michael C. Wu, Stephanie M. Engel, Michael R. Kosorok:
Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example. Comput. Stat. Data Anal. 122: 135-155 (2018) - 2016
- [j2]Xiang Zhan, Santhosh Girirajan, Ni Zhao, Michael C. Wu, Debashis Ghosh:
A novel copy number variants kernel association test with application to autism spectrum disorders studies. Bioinform. 32(23): 3603-3610 (2016)
2000 – 2009
- 2009
- [j1]Michael C. Wu, Lingsong Zhang, Zhaoxi Wang, David Christiani, Xihong Lin:
Sparse linear discriminant analysis for simultaneous testing for the significance of a gene set/pathway and gene selection. Bioinform. 25(9): 1145-1151 (2009)
Coauthor Index
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