GenomeForest: An Ensemble Machine Learning Classifier for Endometriosis.
Abstract
Endometriosis is a complex and high impact disease affecting 176 million women worldwide with diagnostic latency between 4 to 11 years due to lack of a definitive clinical symptom or a minimally invasive diagnostic method. In this study, we developed a new ensemble machine learning classifier based on chromosomal partitioning, named GenomeForest and applied it in classifying the endometriosis vs. the control patients using 38 RNA-seq and 80...
Paper Details
Title
GenomeForest: An Ensemble Machine Learning Classifier for Endometriosis.
Published Date
Jan 1, 2020
Journal
Volume
2020
Pages
33 - 42
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