Convolutional neural network models for cancer type prediction based on gene expression.
Journal:
BMC medical genomics
Published Date:
Apr 3, 2020
Abstract
BACKGROUND: Precise prediction of cancer types is vital for cancer diagnosis and therapy. Through a predictive model, important cancer marker genes can be inferred. Several studies have attempted to build machine learning models for this task however none has taken into consideration the effects of tissue of origin that can potentially bias the identification of cancer markers.