Classification of colon cancer patients into consensus molecular subtypes using support vector machines.

Published in: Turkish journal of biology = Turk biyoloji dergisi (2023)

We present a gene list for colon cancer classification with minimum classification error rates and observed the lowest sensitivity but the highest specificity with CMS3-associated genes, which significantly differed due to the low number of patients in the clinic for this group.

Keyphrases

end stage renal disease
machine learning
ejection fraction
deep learning
newly diagnosed
chronic kidney disease
prognostic factors
peritoneal dialysis
primary care
patient reported outcomes
gene expression
dna methylation
clinical practice
single molecule