An integrative network-driven pipeline for systematic identification of lncRNA-associated regulatory network motifs in metastatic melanoma

An integrative network-driven pipeline for systematic identification of lncRNA-associated regulatory network motifs in metastatic melanoma

Abstract Background Melanoma phenotype and the dynamics underlying its progression are determined by a complex interplay between different types of regulatory molecules. In particular, transcription factors (TFs), microRNAs (miRNAs), and long non-coding RNAs (lncRNAs) interact in layers that coalesc...

Full description

Bibliographic Details
Main Authors: Nivedita Singh, Martin Eberhardt, Olaf Wolkenhauer, Julio Vera, Shailendra K. Gupta
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Bioinformatics
Subjects:
Melanoma
Systems biology
RNA motif
LncRNA
MiRNA
Transcription factor
Online Access:http://link.springer.com/article/10.1186/s12859-020-03656-6

Internet

http://link.springer.com/article/10.1186/s12859-020-03656-6

Similar Items