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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Network inference tools for the human transcriptome

ABSTRACT: This SuperSeries is composed of the following subset Series: GSE27869: Gene expression profiles of 400 siRNA knocked down on HUVEC GSE27870: The effect of TNFa on endothelial cells Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Hiromitsu Araki

PROVIDER: E-GEOD-27871 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene network inference and visualization tools for biologists: application to new human transcriptome datasets.

Hurley Daniel D Araki Hiromitsu H Tamada Yoshinori Y Dunmore Ben B Sanders Deborah D Humphreys Sally S Affara Muna M Imoto Seiya S Yasuda Kaori K Tomiyasu Yuki Y Tashiro Kosuke K Savoie Christopher C Cho Vicky V Smith Stephen S Kuhara Satoru S Miyano Satoru S Charnock-Jones D Stephen DS Crampin Edmund J EJ Print Cristin G CG

Nucleic acids research 20111124 6

Gene regulatory networks inferred from RNA abundance data have generated significant interest, but despite this, gene network approaches are used infrequently and often require input from bioinformaticians. We have assembled a suite of tools for analysing regulatory networks, and we illustrate their use with microarray datasets generated in human endothelial cells. We infer a range of regulatory networks, and based on this analysis discuss the strengths and limitations of network inference from ...[more]

PMID: 22121215

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