Using deep learning to model the hierarchical structure and function of a cell.

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Using deep learning to model the hierarchical structure and function of a cell.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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Using deep learning to model the hierarchical structure and function of a cell.

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Using deep learning to model the hierarchical structure and function of a cell.

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Using deep learning to model the hierarchical structure and function of a cell.

@en

Using deep learning to model the hierarchical structure and function of a cell.

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Using deep learning to model the hierarchical structure and function of a cell.

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Using deep learning to model the hierarchical structure and function of a cell.

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P1476

Using deep learning to model the hierarchical structure and function of a cell.

@en

P2093

Eric Sage

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Keiichiro Ono

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Michael Ku Yu

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Roded Sharan

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Samson Fong

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P2860

Five years of GWAS discovery

Classic and contemporary approaches to modeling biochemical reactions

A whole-cell computational model predicts phenotype from genotype

A UV-induced genetic network links the RSC complex to nucleotide excision repair and shows dose-dependent rewiring.

Futile protein folding cycles in the ER are terminated by the unfolded protein O-mannosylation pathway.

Glutaredoxins Grx4 and Grx3 of Saccharomyces cerevisiae play a role in actin dynamics through their Trx domains, which contributes to oxidative stress resistance.

Comprehensive characterization of genes required for protein folding in the endoplasmic reticulum

The unfolded protein response is induced by the cell wall integrity mitogen-activated protein kinase signaling cascade and is required for cell wall integrity in Saccharomyces cerevisiae.

Mastering the game of Go with deep neural networks and tree search

Deep learning

P2888

nmeth.4627

P304

290-298

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scholarly article

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10.1038/NMETH.4627

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P433

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P478

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P50

Trey Ideker

Barry Demchak

Jianzhu Ma

P577

2018-03-05T00:00:00Z

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P698

29505029

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P921

deep learning

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5882547

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