An Efficient Feature Selection Algorithm for Gene Families Using NMF and ReliefF.

ABSTRACT: Gene families, which are parts of a genome's information storage hierarchy, play a significant role in the development and diversity of multicellular organisms. Several studies have focused on the characteristics of gene families, such as function, homology, or phenotype. However, statistical and correlation analyses on the distribution of gene family members in the genome have yet to be conducted. Here, a novel framework incorporating gene family analysis and genome selection based on NMF-ReliefF is reported. Specifically, the proposed method starts by obtaining gene families from the TreeFam database and determining the number of gene families within the feature matrix. Then, NMF-ReliefF is used to select features from the gene feature matrix, which is a new feature selection algorithm t

SUBMITTER: Liu K 

PROVIDER: S-EPMC9957060 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature