Review paper
Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools
Abstract
In recent years, high-throughput sequencing technologies provide unprecedented opportunity to depict cancer samples at multiple molecular levels. The integration and analysis of these multi-omics datasets is a crucial and critical step to gain actionable knowledge in a precision medicine framework. This paper explores recent data-driven methodologies that have been developed and applied to respond major challenges of stratified medicine in...
Paper Details
Title
Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools
Published Date
Jun 30, 2020
Journal
Volume
10
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