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Yu-Chiao Chiu

Showing results (1-10 of 75) with videos related to

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Cancers|May 11, 2024
A Metastatic Cancer Expression Generator (MetGen): A Generative Contrastive Learning Framework for Metastatic Cancer GenerationZhentao Liu, Yu-Chiao Chiu, Yidong Chen, et al.
BMC Bioinformatics|May 13, 2021
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model trainingMilad Mostavi, Yu-Chiao Chiu, Yidong Chen, et al.
BMC Medical Genomics|April 4, 2020
Convolutional neural network models for cancer type prediction based on gene expressionMilad Mostavi, Yu-Chiao Chiu, Yufei Huang, et al.
Translational Cancer Research|February 4, 2022
Multi-omics analysis reveals the <i>BRCA1</i> mutation and mismatch repair gene signatures associated with survival, protein expression, and copy number alterations in prostate cancerTzu-Hung Hsiao, Yu-Chiao Chiu, Yu-Hsuan Joni Shao
BMC Genomics|April 29, 2015
Parameter optimization for constructing competing endogenous RNA regulatory network in glioblastoma multiforme and other cancersYu-Chiao Chiu, Tzu-Hung Hsiao, Yidong Chen, et al.
Biorxiv : the Preprint Server for Biology|March 27, 2026
STiLE: Automated Tissue Microarray Dearraying for Spatial TranscriptomicsHarsh Sinha, Arun Das, Yu-Chiao Chiu, et al.
Briefings in Bioinformatics|June 22, 2026
ST2HE: enhancing spatial transcriptomics interpretability via virtual staining for histological annotationZhentao Liu, Arun Das, Wen Meng, et al.
Patterns (New York, N.Y.)|April 22, 2024
Predicting drug response through tumor deconvolution by cancer cell linesYu-Ching Hsu, Yu-Chiao Chiu, Tzu-Pin Lu, et al.
Arxiv|November 24, 2025
ST2HE: A Cross-Platform Framework for Virtual Histology and Annotation of High-Resolution Spatial Transcriptomics DataZhentao Liu, Arun Das, Wen Meng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Analyzing Differential Regulatory Networks Modulated by Continuous-State Genomic Features in Glioblastoma MultiformeYu-Chiao Chiu, Tzu-Hung Hsiao, Li-Ju Wang, et al.
Pageof 8

Showing results (1-10 of 75) with videos related to

Sort By:
Pageof 8
Cancers|May 11, 2024
A Metastatic Cancer Expression Generator (MetGen): A Generative Contrastive Learning Framework for Metastatic Cancer GenerationZhentao Liu, Yu-Chiao Chiu, Yidong Chen, et al.
BMC Bioinformatics|May 13, 2021
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model trainingMilad Mostavi, Yu-Chiao Chiu, Yidong Chen, et al.
BMC Medical Genomics|April 4, 2020
Convolutional neural network models for cancer type prediction based on gene expressionMilad Mostavi, Yu-Chiao Chiu, Yufei Huang, et al.
Translational Cancer Research|February 4, 2022
Multi-omics analysis reveals the <i>BRCA1</i> mutation and mismatch repair gene signatures associated with survival, protein expression, and copy number alterations in prostate cancerTzu-Hung Hsiao, Yu-Chiao Chiu, Yu-Hsuan Joni Shao
BMC Genomics|April 29, 2015
Parameter optimization for constructing competing endogenous RNA regulatory network in glioblastoma multiforme and other cancersYu-Chiao Chiu, Tzu-Hung Hsiao, Yidong Chen, et al.
Biorxiv : the Preprint Server for Biology|March 27, 2026
STiLE: Automated Tissue Microarray Dearraying for Spatial TranscriptomicsHarsh Sinha, Arun Das, Yu-Chiao Chiu, et al.
Briefings in Bioinformatics|June 22, 2026
ST2HE: enhancing spatial transcriptomics interpretability via virtual staining for histological annotationZhentao Liu, Arun Das, Wen Meng, et al.
Patterns (New York, N.Y.)|April 22, 2024
Predicting drug response through tumor deconvolution by cancer cell linesYu-Ching Hsu, Yu-Chiao Chiu, Tzu-Pin Lu, et al.
Arxiv|November 24, 2025
ST2HE: A Cross-Platform Framework for Virtual Histology and Annotation of High-Resolution Spatial Transcriptomics DataZhentao Liu, Arun Das, Wen Meng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Analyzing Differential Regulatory Networks Modulated by Continuous-State Genomic Features in Glioblastoma MultiformeYu-Chiao Chiu, Tzu-Hung Hsiao, Li-Ju Wang, et al.
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