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Yu-Chiao Chiu

Showing results (11-20 of 75) with videos related to

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Frontiers in Physics|December 4, 2020
Predicting sites of epitranscriptome modifications using unsupervised representation learning based on generative adversarial networksSirajul Salekin, Milad Mostavi, Yu-Chiao Chiu, et al.
BMC Genomics|October 7, 2017
Genome-wide identification of key modulators of gene-gene interaction networks in breast cancerYu-Chiao Chiu, Li-Ju Wang, Tzu-Hung Hsiao, et al.
BMC Systems Biology|September 3, 2016
A simple gene set-based method accurately predicts the synergy of drug pairsYu-Ching Hsu, Yu-Chiao Chiu, Yidong Chen, et al.
BMC Systems Biology|December 23, 2018
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterizationHung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang, et al.
BMC Systems Biology|December 23, 2018
scdNet: a computational tool for single-cell differential network analysisYu-Chiao Chiu, Tzu-Hung Hsiao, Li-Ju Wang, et al.
Advances in Bioinformatics|April 11, 2013
Gene regulation, modulation, and their applications in gene expression data analysisMario Flores, Tzu-Hung Hsiao, Yu-Chiao Chiu, et al.
Methods (San Diego, Calif.)|January 23, 2021
Prediction and interpretation of cancer survival using graph convolution neural networksRicardo Ramirez, Yu-Chiao Chiu, SongYao Zhang, et al.
Iscience|March 12, 2026
Predicting and interpreting protein and phosphoprotein abundance from pan-cancer and single-cell transcriptomesHui-Mei Tsai, Tzu-Hung Hsiao, Yu-Chiao Chiu, et al.
BMC Genomics|February 5, 2019
CeL-ID: cell line identification using RNA-seq dataTabrez A Mohammad, Yun S Tsai, Safwa Ameer, et al.
Briefings in Bioinformatics|December 10, 2019
Deep learning of pharmacogenomics resources: moving towards precision oncologyYu-Chiao Chiu, Hung-I Harry Chen, Aparna Gorthi, et al.
Pageof 8

Showing results (11-20 of 75) with videos related to

Sort By:
Pageof 8
Frontiers in Physics|December 4, 2020
Predicting sites of epitranscriptome modifications using unsupervised representation learning based on generative adversarial networksSirajul Salekin, Milad Mostavi, Yu-Chiao Chiu, et al.
BMC Genomics|October 7, 2017
Genome-wide identification of key modulators of gene-gene interaction networks in breast cancerYu-Chiao Chiu, Li-Ju Wang, Tzu-Hung Hsiao, et al.
BMC Systems Biology|September 3, 2016
A simple gene set-based method accurately predicts the synergy of drug pairsYu-Ching Hsu, Yu-Chiao Chiu, Yidong Chen, et al.
BMC Systems Biology|December 23, 2018
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterizationHung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang, et al.
BMC Systems Biology|December 23, 2018
scdNet: a computational tool for single-cell differential network analysisYu-Chiao Chiu, Tzu-Hung Hsiao, Li-Ju Wang, et al.
Advances in Bioinformatics|April 11, 2013
Gene regulation, modulation, and their applications in gene expression data analysisMario Flores, Tzu-Hung Hsiao, Yu-Chiao Chiu, et al.
Methods (San Diego, Calif.)|January 23, 2021
Prediction and interpretation of cancer survival using graph convolution neural networksRicardo Ramirez, Yu-Chiao Chiu, SongYao Zhang, et al.
Iscience|March 12, 2026
Predicting and interpreting protein and phosphoprotein abundance from pan-cancer and single-cell transcriptomesHui-Mei Tsai, Tzu-Hung Hsiao, Yu-Chiao Chiu, et al.
BMC Genomics|February 5, 2019
CeL-ID: cell line identification using RNA-seq dataTabrez A Mohammad, Yun S Tsai, Safwa Ameer, et al.
Briefings in Bioinformatics|December 10, 2019
Deep learning of pharmacogenomics resources: moving towards precision oncologyYu-Chiao Chiu, Hung-I Harry Chen, Aparna Gorthi, et al.
Pageof 8