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Article

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

BMC bioinformatics - 23 Jul 2020

Singh Nivedita, Eberhardt Martin, Wolkenhauer Olaf, Vera Julio, Gupta Shailendra K

Abstract excerpt

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 coalesce into large molecular interaction networks. Our goal here is to study molecules associated with the cross-talk between...

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Identifiers

PMID: 32703153
DOI: 10.1186/s12859-020-03656-6
PMCID: PMC7376740

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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