reviewBioengineeringJan 28, 2023GOLD OA

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review

University of Idaho

PubMed
Indexed inarxivcrossrefdoajpubmed

Abstract

Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells that can spread in different parts of the body. According to the World Health Organization (WHO), cancer is the second major cause of death after cardiovascular diseases. Gene expression can play a fundamental role in the early detection of cancer, as it is indicative of the biochemical processes in tissue and cells, as well as the genetic characteristics of an organism. Deoxyribonucleic acid (DNA) microarrays and ribonucleic acid (RNA)-sequencing methods for gene expression data allow quantifying the expression levels of genes and produce valuable data for computational analysis. This study reviews recent progress in gene…

Citation impact

219
total citations
FWCI
31.73
Percentile
100%
References
160
Citations per year

Authors

2

Topics & keywords

Keywords
  • Deep learning
  • Machine learning
  • Computer science
  • Artificial intelligence
  • DNA microarray
  • Computational biology
  • Convolutional neural network
  • Gene expression
UN Sustainable Development Goals
  • Good health and well-being
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