Advancing forensic-based investigation incorporating slime mould search for gene selection of high-dimensional genetic data.

ABSTRACT: Modern medicine has produced large genetic datasets of high dimensions through advanced gene sequencing technology, and processing these data is of great significance for clinical decision-making. Gene selection (GS) is an important data preprocessing technique that aims to select a subset of feature information to improve performance and reduce data dimensionality. This study proposes an improved wrapper GS method based on forensic-based investigation (FBI). The method introduces the search mechanism of the slime mould algorithm in the FBI to improve the original FBI; the newly proposed algorithm is named SMA_FBI; then GS is performed by converting the continuous optimizer to a binary version of the optimizer through a transfer function. In order to verify the superiority of SMA_FBI, expe

SUBMITTER: Qiu F 

PROVIDER: S-EPMC11016116 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature