Investigating the Combinatory Effects of Biological Networks on Gene Co-expression. - Wikidata - wikimedia - TriplyDB

Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

http://www.wikidata.org/entity/Q37028150

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New Challenges to Study Heterogeneity in Cancer Redox Metabolism.Network analyses identify liver-specific targets for treating liver diseases.

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Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

http://www.wikidata.org/entity/Q37028150

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 02 May 2016

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

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Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

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type

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Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

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Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

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prefLabel

Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

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Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

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FPHYS.2016.00160

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Frontiers in Physiology

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Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.

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Adil Mardinoglu

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Qiang Hua

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P2860

WGCNA: an R package for weighted correlation network analysis

Reconstruction of gene co-expression network from microarray data using local expression patterns

The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae.

BioGRID: a general repository for interaction datasets

YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae

Quantifying the relationship between co-expression, co-regulation and gene function

Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

Summaries of Affymetrix GeneChip probe level data

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

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160

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scholarly article

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10.3389/FPHYS.2016.00160

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7

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2016-05-02T00:00:00Z

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27445830

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4916787

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