Enhanced identification of significant regulators of gene expression

Enhanced identification of significant regulators of gene expression

Abstract Background Diseases like cancer will lead to changes in gene expression, and it is relevant to identify key regulatory genes that can be linked directly to these changes. This can be done by computing a Regulatory Impact Factor (RIF) score for relevant regulators. However, this computation...

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Bibliographic Details
Main Authors: Rezvan Ehsani, Finn Drabløs
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Bioinformatics
Subjects:
Regulatory impact factor
Gene regulation
Correlated gene expression
Fisher metric
Sobolev metric
Prostate cancer
Online Access:http://link.springer.com/article/10.1186/s12859-020-3468-z

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http://link.springer.com/article/10.1186/s12859-020-3468-z

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