Dynamic time-varying transfer function for cancer gene expression data feature selection problem

Dynamic time-varying transfer function for cancer gene expression data feature selection problem

Abstract Cancer gene expression data is characterized by high dimensionality, multiple samples and multi-class classification. Feature selection (FS) serves as a crucial preprocessing step in addressing these data mining challenges. To tackle the issue of FS in cancer gene expression data, a novel t...

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Bibliographic Details
Main Authors: Hao-Ming Song, Yu-Cai Wang, Jie-Sheng Wang, Yu-Wei Song, Shi Li, Yu-Liang Qi, Jia-Ning Hou
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Journal of Big Data
Subjects:
Dynamic time-varying transfer function
Population diversity
Feature selection
Cancer gene expression data
Online Access:https://doi.org/10.1186/s40537-025-01105-w
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https://doi.org/10.1186/s40537-025-01105-w

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