miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking

A better understanding of disease development and progression mechanisms at the molecular level is critical both for the diagnosis of a disease and for the development of therapeutic approaches. The advancements in high throughput technologies allowed to generate mRNA and microRNA (miRNA) expression...

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Bibliographic Details
Published in:	PeerJ (San Francisco, CA) Vol. 9; p. e11458
Main Authors:	Yousef, Malik, Goy, Gokhan, Mitra, Ramkrishna, Eischen, Christine M., Jabeer, Amhar, Bakir-Gungor, Burcu
Format:	Journal Article
Language:	English
Published:	San Diego PeerJ. Ltd 19.05.2021 PeerJ, Inc PeerJ Inc
Subjects:	Algorithms Analysis Artificial Intelligence Bioinformatics Biomarkers Cancer Data analysis Data Mining and Machine Learning Gene expression Genes Genomes Grouping Health aspects Integrated Integration Learning algorithms Machine learning Messenger RNA Methods MicroRNA miRNA Ranking
ISSN:	2167-8359, 2167-8359
Online Access:	Get full text
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