In recent years, feature selection has become an increasingly active field of data science and machine learning research. Most of the datasets that are being used nowadays for various machine learning ...

Abstract: Feature selection plays a pivotal role in enhancing machine learning model performance by removing irrelevant and redundant data, thus reducing dimensionality and improving computational ...

Keywords: RNA-Seq, supervised learning, random forests, variational autoencoders, gene selection, feature selection, transcriptomics, gene expression. Citation: Wenric S and Shemirani R (2018) Using ...