Detecting subnetwork-level dynamic correlations.

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Genome-wide trait-trait dynamics correlation study dissects the gene regulation pattern in maize kernels.A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data

P2860

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Detecting subnetwork-level dynamic correlations.

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http://www.wikidata.org/entity/Q39352302

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2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

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2016年论文

@zh-cn

name

Detecting subnetwork-level dynamic correlations.

@en

Detecting subnetwork-level dynamic correlations.

@nl

type

Item

label

Detecting subnetwork-level dynamic correlations.

@en

Detecting subnetwork-level dynamic correlations.

@nl

prefLabel

Detecting subnetwork-level dynamic correlations.

@en

Detecting subnetwork-level dynamic correlations.

@nl

P1476

Detecting subnetwork-level dynamic correlations.

@en

P2093

Jianwei Lu

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Shangzhao Qiu

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

Sihong Gong

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

Tianwei Yu

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

Yan Yan

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

Yun Bai

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

Zhuxuan Jin

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In vivo response to methotrexate forecasts outcome of acute lymphoblastic leukemia and has a distinct gene expression profile

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Using GOstats to test gene lists for GO term association

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Mining breast cancer genes with a network based noise-tolerant approach

An information theoretic exploratory method for learning patterns of conditional gene coexpression from microarray data.

P304

256-265

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scholarly article

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10.1093/BIOINFORMATICS/BTW616

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English

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P478

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P577

2016-09-25T00:00:00Z

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27667792

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P932

5254077

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Detecting subnetwork-level dynamic correlations.

about

P2860

P2860

Detecting subnetwork-level dynamic correlations.

description

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type

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P1433

P1476

P2093

P2860

P304

P31

P356

P407

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P478

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P932

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P1433

P1476

P2093

P2860

P304

P31

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P407

P433

P478

P577

P698

P932