A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks

A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks

Abstract Background The heterogeneity of cells across tissue types represents a major challenge for studying biological mechanisms as well as for therapeutic targeting of distinct tissues. Computational prediction of tissue-specific gene regulatory networks may provide important insights into the me...

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Bibliographic Details
Main Authors: Ankit Jambusaria, Jeff Klomp, Zhigang Hong, Shahin Rafii, Yang Dai, Asrar B. Malik, Jalees Rehman
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Bioinformatics
Subjects:
Gene set enrichment
Systems biology
Tissue specificity
Gene expression
Transcriptional networks
Transcription factor binding motifs
Online Access:http://link.springer.com/article/10.1186/s12859-018-2190-6

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http://link.springer.com/article/10.1186/s12859-018-2190-6

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