HIGHLIGHTS
- who: Fadi Alharbi and Aleksandar Vakanski from the Department of Computer Science, University of Idaho, Moscow, ID, USA have published the research: Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review, in the Journal: Bioengineering 2023, 10, 173. of /2023/
- what: This study provides an overview of the feature engineering techniques in gene_expression analysis, classified into filter, wrapper, and embedded methods . The focus of this study was on approaches for modeling RNA-Seq gene_expression data, being the most dominant data format used for this task in recent years. This study provides a . . .
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