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

• 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

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...