A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns.

ABSTRACT: Enhancers regulate gene expression, by playing a crucial role in the synthesis of RNAs and proteins. They do not directly encode proteins or RNA molecules. In order to control gene expression, it is important to predict enhancers and their potency. Given their distance from the target gene, lack of common motifs, and tissue/cell specificity, enhancer regions are thought to be difficult to predict in DNA sequences. Recently, a number of bioinformatics tools were created to distinguish enhancers from other regulatory components and to pinpoint their advantages. However, because the quality of its prediction method needs to be improved, its practical application value must also be improved. Based on nucleotide composition and statistical moment-based features, the current study suggests a nov

SUBMITTER: Butt AH 

PROVIDER: S-EPMC9452539 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature