Chromatin accessibility prediction via a hybrid deep convolutional neural network.

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Chromatin accessibility prediction via a hybrid deep convolutional neural network.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

@yue

2017年論文

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2017年論文

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2017年論文

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Chromatin accessibility prediction via a hybrid deep convolutional neural network.

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Chromatin accessibility prediction via a hybrid deep convolutional neural network.

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Chromatin accessibility prediction via a hybrid deep convolutional neural network.

@en

Chromatin accessibility prediction via a hybrid deep convolutional neural network.

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Chromatin accessibility prediction via a hybrid deep convolutional neural network.

@en

Chromatin accessibility prediction via a hybrid deep convolutional neural network.

@nl

P1476

Chromatin accessibility prediction via a hybrid deep convolutional neural network.

@en

P2093

Fei Xia

http://www.w3.org/2001/XMLSchema#string

Qiao Liu

http://www.w3.org/2001/XMLSchema#string

Qijin Yin

http://www.w3.org/2001/XMLSchema#string

Rui Jiang

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P2860

Defining functional DNA elements in the human genome

An integrated encyclopedia of DNA elements in the human genome

JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles

Quantifying similarity between motifs

Genomewide association studies and assessment of the risk of disease

Identification of a functional genetic variant at 16q12.1 for breast cancer risk: results from the Asia Breast Cancer Consortium

HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants

A general framework for estimating the relative pathogenicity of human genetic variants

Annotating non-coding regions of the genome.

Predicting the human epigenome from DNA motifs.

P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTX679

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P407

English

P577

2017-10-23T00:00:00Z

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P698

29069282

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P921

convolutional neural network

deep learning

deep neural network

P932

6192215

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