Classification of Long Non-Coding RNAs s Between Early and Late Stage of Liver Cancers From Non-coding RNA Profiles Using Machine-Learning Approach

• Published in: Bioinformatics and biology insights Vol. 18; p. 11779322241258586
• Main Authors: Anuntakarun, Songtham, Khamjerm, Jakkrit, Tangkijvanich, Pisit, Chuaypen, Natthaya
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2024; Sage Publications Ltd; SAGE Publishing
• Subjects: Algorithms; Biological activity; Biomarkers; Classification; Feature extraction; Gene expression; Gene sequencing; Learning algorithms; Liver cancer; Machine learning; Non-coding RNA; Nucleotides; Original; Ribonucleic acid; RNA; lncRNAs; liver cancer; machine learning; data mining

Long non-coding RNAs (lncRNAs), which are RNA sequences greater than 200 nucleotides in length, play a crucial role in regulating gene expression and biological processes associated with cancer development and progression. Liver cancer is a major cause of cancer-related mortality worldwide, notably...