TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization.

ABSTRACT: Long noncoding RNAs (lncRNAs) are primarily regulated by their cellular localization, which is responsible for their molecular functions, including cell cycle regulation and genome rearrangements. Accurately identifying the subcellular location of lncRNAs from sequence information is crucial for a better understanding of their biological functions and mechanisms. In contrast to traditional experimental methods, bioinformatics or computational methods can be applied for the annotation of lncRNA subcellular locations in humans more effectively. In the past, several machine learning-based methods have been developed to identify lncRNA subcellular localization, but relevant work for identifying cell-specific localization of human lncRNA remains limited. In this study, we present the first appl

SUBMITTER: Jeon YJ 

PROVIDER: S-EPMC9294414 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature