Autoencoder Based Feature Selection Method for Classification of Anticancer Drug Response.
Ontology highlight
ABSTRACT:
SUBMITTER: Xu X
PROVIDER: S-EPMC6445890 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Publications
Autoencoder Based Feature Selection Method for Classification of Anticancer Drug Response.
Xu Xiaolu X Gu Hong H Wang Yang Y Wang Jia J Qin Pan P
Frontiers in genetics 20190327
Anticancer drug responses can be varied for individual patients. This difference is mainly caused by genetic reasons, like mutations and RNA expression. Thus, these genetic features are often used to construct classification models to predict the drug response. This research focuses on the feature selection issue for the classification models. Because of the vast dimensions of the feature space for predicting drug response, the autoencoder network was first built, and a subset of inputs with the ...[more]
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