A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Genomic pan-cancer classification using image-based deep learning
2021
Computational and Structural Biotechnology Journal
Accurate cancer type classification based on genetic mutation can significantly facilitate cancer-related diagnosis. However, existing methods usually use feature selection combined with simple classifiers to quantify key mutated genes, resulting in poor classification performance. To circumvent this problem, a novel image-based deep learning strategy is employed to distinguish different types of cancer. Unlike conventional methods, we first convert gene mutation data containing single
doi:10.1016/j.csbj.2021.01.010
pmid:33598099
pmcid:PMC7848437
fatcat:fhw7y5evnzgjrkbclf5qhizlh4