STR-based feature extraction and selection for genetic feature discovery in neurological disease genes.

ABSTRACT: Gene expression, often determined by single nucleotide polymorphisms, short repeated sequences known as short tandem repeats (STRs), structural variants, and environmental factors, provides means for an organism to produce gene products necessary to live. Variation in expression levels, sometimes known as enrichment patterns, has been associated with disease progression. Thus, the STR enrichment patterns have recently gained interest as potential genetic markers for disease progression. However, to the best of our knowledge, we are unaware of any study that evaluates and explores STRs, particularly trinucleotide sequences, as machine learning features for classifying neurological disease genes for the purpose of discovering genetic features. Thus, in this paper, we proposed a new metric an

SUBMITTER: Dhaliwal J 

PROVIDER: S-EPMC9922266 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature