63 citations · 113 across the 5 of their papers we have counts for
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cs.LG2021★ 42 cited
Machine learning methods for prediction of cancer driver genes: a survey paper
Renan Andrades, Mariana Recamonde-Mendoza
Identifying the genes and mutations that drive the emergence of tumors is a major step to improve understanding of cancer and identify new directions for disease diagnosis and trea…
cs.LG2021★ 1 cited
A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles
Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde-Mendoza
The discovery of disease biomarkers from gene expression data has been greatly advanced by feature selection (FS) methods, especially using ensemble FS (EFS) strategies with pertur…