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DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.
He, Ruoyu; Liu, Mingyang; Lin, Zhaotong; Zhuang, Zhong; Shen, Xiaotong; Pan, Wei.
Affiliation
  • He R; Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, 420 Delaware Street SE, Minneapolis, MN 55455 and School of Statistics, University of Minnesota, 313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455.
  • Liu M; Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, 420 Delaware Street SE, Minneapolis, MN 55455 and School of Statistics, University of Minnesota, 313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455.
  • Lin Z; Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, 420 Delaware Street SE, Minneapolis, MN 55455 and School of Statistics, University of Minnesota, 313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455.
  • Zhuang Z; Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, 420 Delaware Street SE, Minneapolis, MN 55455 and School of Statistics, University of Minnesota, 313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455.
  • Shen X; Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, 420 Delaware Street SE, Minneapolis, MN 55455 and School of Statistics, University of Minnesota, 313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455.
  • Pan W; Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, 420 Delaware Street SE, Minneapolis, MN 55455 and School of Statistics, University of Minnesota, 313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455.
Biostatistics ; 25(2): 468-485, 2024 Apr 15.
Article in En | MEDLINE | ID: mdl-36610078
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcriptome / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biostatistics Year: 2024 Type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcriptome / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biostatistics Year: 2024 Type: Article