Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings.

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第一作者： Alexander,Sasse

第一单位： Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.

作者： Alexander,Sasse ^[1] ; Bernard,Ng ^[2] ; Anna E,Spiro ^[1] ; Shinya,Tasaki ^[2] ; David A,Bennett ^[2] ; Christopher,Gaiteri ^[2] ; Philip L,De Jager ^[3] ; Maria,Chikina ^[4] ; Sara,Mostafavi ^[5]

作者单位： Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. ^[1] Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA. ^[2] Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA. ^[3] Center for Translational & Computational Neuroimmunology, Department of Neurology, and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA. ^[4] Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA. mchikina@gmail.com. ^[5] Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. saramos@cs.washington.edu. ^[6] Canadian Institute for Advanced Research, Toronto, Ontario, Canada. saramos@cs.washington.edu. ^[7]

主题词人类(Humans);规范(Benchmarking);碱基序列(Base Sequence);DNA(DNA);基因表达(Gene Expression)

DOI 10.1038/s41588-023-01524-6

PMID 38036778

发布时间 2024-04-25

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准确一般字义偏差语意偏离译文作用小提交