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

Sasse, Alexander; Ng, Bernard; Spiro, Anna E; Tasaki, Shinya; Bennett, David A; Gaiteri, Christopher; De Jager, Philip L; Chikina, Maria; Mostafavi, Sara

Sasse, Alexander; Ng, Bernard; Spiro, Anna E; Tasaki, Shinya; Bennett, David A; Gaiteri, Christopher; De Jager, Philip L; Chikina, Maria; Mostafavi, Sara.

Affiliation

Sasse A; Paul G. Allen School of Computer Science and Engineering, University of Washington, WA, USA, 98195.
Ng B; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA, 60612.
Spiro AE; Paul G. Allen School of Computer Science and Engineering, University of Washington, WA, USA, 98195.
Tasaki S; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA, 60612.
Bennett DA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA, 60612.
Gaiteri C; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA, 60612.
De Jager PL; Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA 13210.
Chikina M; 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, 10032.
Mostafavi S; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA, 15260.

bioRxiv ; 2023 Sep 28.

Article in En | MEDLINE | ID: mdl-36993652

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BioRxiv Year: 2023 Document type: Article Country of publication: Estados Unidos

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