62 citations · 107 across the 4 of their papers we have counts for
4 papers
Deep learning tackles single-cell analysis A survey of deep learning for scRNA-seq analysis
Mario Flores, Zhentao Liu, Ting-He Zhang +10
Since its selection as the method of the year in 2013, single-cell technologies have become mature enough to provide answers to complex research questions. With the growth of singl…
Convolutional neural network models for cancer type prediction based on gene expression
Milad Mostavi, Yu-Chiao Chiu, Yufei Huang +1
Background Precise prediction of cancer types is vital for cancer diagnosis and therapy. Important cancer marker genes can be inferred through predictive model. Several studies hav…
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang +5
The study of high-throughput genomic profiles from a pharmacogenomics viewpoint has provided unprecedented insights into the oncogenic features modulating drug response. A recent s…
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
Hung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang +3
Bioinformatics tools have been developed to interpret gene expression data at the gene set level, and these gene set based analyses improve the biologists' capability to discover f…