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For: Gaynor SM, Sun R, Lin X, Quackenbush J. Identification of differentially expressed gene sets using the Generalized Berk-Jones statistic. Bioinformatics 2019;35:4568-4576. [PMID: 31062858 PMCID: PMC6853697 DOI: 10.1093/bioinformatics/btz277] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 02/14/2019] [Accepted: 04/23/2019] [Indexed: 01/09/2023]  Open
Number Cited by Other Article(s)
1
Sun R, Shi A, Lin X. Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies. Biostatistics 2023;25:171-187. [PMID: 36000269 PMCID: PMC10724113 DOI: 10.1093/biostatistics/kxac036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 07/15/2022] [Accepted: 08/07/2022] [Indexed: 01/11/2023]  Open
2
Van Buren E, Hu M, Cheng L, Wrobel J, Wilhelmsen K, Su L, Li Y, Wu D. TWO-SIGMA-G: a new competitive gene set testing framework for scRNA-seq data accounting for inter-gene and cell-cell correlation. Brief Bioinform 2022;23:bbac084. [PMID: 35325048 PMCID: PMC9271221 DOI: 10.1093/bib/bbac084] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 02/09/2022] [Accepted: 02/17/2022] [Indexed: 11/14/2022]  Open
3
Helms L, Marchiano S, Stanaway IB, Hsiang TY, Juliar BA, Saini S, Zhao YT, Khanna A, Menon R, Alakwaa F, Mikacenic C, Morrell ED, Wurfel MM, Kretzler M, Harder JL, Murry CE, Himmelfarb J, Ruohola-Baker H, Bhatraju PK, Gale M, Freedman BS. Cross-validation of SARS-CoV-2 responses in kidney organoids and clinical populations. JCI Insight 2021;6:e154882. [PMID: 34767537 PMCID: PMC8783682 DOI: 10.1172/jci.insight.154882] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/10/2021] [Indexed: 11/17/2022]  Open
4
Zeng P, Dai J, Jin S, Zhou X. Aggregating multiple expression prediction models improves the power of transcriptome-wide association studies. Hum Mol Genet 2021;30:939-951. [PMID: 33615361 DOI: 10.1093/hmg/ddab056] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 02/10/2021] [Accepted: 02/15/2021] [Indexed: 12/11/2022]  Open
5
Xiao L, Yuan Z, Jin S, Wang T, Huang S, Zeng P. Multiple-Tissue Integrative Transcriptome-Wide Association Studies Discovered New Genes Associated With Amyotrophic Lateral Sclerosis. Front Genet 2020;11:587243. [PMID: 33329728 PMCID: PMC7714931 DOI: 10.3389/fgene.2020.587243] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/26/2020] [Indexed: 12/12/2022]  Open
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