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Found 2 papers, 1 papers with code
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
We introduced the concept of the gene superset, an unbiased combination of gene sets with weights trained by the autoencoder, where each node in the latent layer is a superset.
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
We trained and tested the model on a dataset of 622 cancer cell lines and achieved an overall prediction performance of mean squared error at 1. 96 (log-scale IC50 values).
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