Optimisation of cancer classification by machine learning generates an enriched list of candidate drug targets and biomarkers
Author:
Affiliation:
1. Department of Electrical and Computer Engineering
2. University of the West Indies
3. Saint Augustine
4. Trinidad and Tobago
5. Department of Pre-Clinical Sciences
Abstract
A novel list of potential biomarkers was generated from RNA-seq expression data and used to optimise cancer classification.
Publisher
Royal Society of Chemistry (RSC)
Subject
Genetics,Molecular Biology,Biochemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2020/MO/C9MO00198K
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