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For: Meng J, Zhu W, Li C, Jon K. A novel association test for rare variants based on algebraic statistics. J Theor Biol 2020;493:110228. [PMID: 32135159 DOI: 10.1016/j.jtbi.2020.110228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 01/22/2020] [Accepted: 02/29/2020] [Indexed: 01/26/2023]
Number Cited by Other Article(s)
1
Miller A, Panneerselvam J, Liu L. A review of regression and classification techniques for analysis of common and rare variants and gene-environmental factors. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.08.150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
2
Goswami C, Chattopadhyay A, Chuang EY. Rare variants: data types and analysis strategies. ANNALS OF TRANSLATIONAL MEDICINE 2021;9:961. [PMID: 34277761 PMCID: PMC8267277 DOI: 10.21037/atm-21-1635] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/25/2021] [Indexed: 11/11/2022]
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