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Collaborations and top research areas from the last five years
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Using Deep Learning to Predict Unique Surface Proteins in Normal and Cancer Cells
Chen, S.-H. (PI)
8/1/25 → 7/31/26
Project: A - Government Institution › b - National Science and Technology Council
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Using Deep Learning to Predict Unique Surface Proteins in Normal and Cancer Cells
Chen, S.-H. (PI)
8/1/24 → 7/31/25
Project: A - Government Institution › b - National Science and Technology Council
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Identifying Surfaceome in Ensemble Learning Model by Differential Expressed Proteins or Transcripts in Non-Cancer and Cancer Cells
Chen, S.-H. (PI)
8/1/23 → 7/31/24
Project: A - Government Institution › b - National Science and Technology Council
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Identify Human Surfaceome in Deep Learning for Cell-Type Annotation and Isolation from Scrna-Seq
Chen, S.-H. (PI)
8/1/21 → 7/31/22
Project: A - Government Institution › b - National Science and Technology Council
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Harnessing Sequence Embedding and Ensemble Learning to Identify Antifungal Peptides with Low Hemolytic Risk
Lin, C. Y., Cheng, W. C., Chen, U. L., Lin, T. T., Hsu, L. H., Shih, Y. H., Lu, I. H., Chen, Y. L. & Chen, S. H., May 12 2026, In: ACS Omega. 11, 18, p. 26870-26880 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Chromosome-Level Genome Assembly and Annotation of the Japanese Cutlassfish (Trichiurus japonicus): A High-Quality Genomic Resource Featuring Nuclear and Mitochondrial Completeness for Future Studies
Hsu, P. C., Lin, C. Y., Hsieh, P. H., Chuang, W. H., Lu, M. Y., Chen, C. A. & Chen, S. H., Dec 2025, In: Scientific data. 12, 1, 1860.Research output: Contribution to journal › Article › peer-review
Open Access -
From AI to action: Antimicrobial peptides engineered by generative adversarial networks (GANs)-A novel approach to combat resistant Bacteria
Lai, C. W., Lin, C. Y., Tsai, M. C., Chen, W. J., Hsieh, C. C., Lin, Z. J., Shen, L. J., Chen, Y. L., Lai, L. J., Chen, S. H. & Shih, Y. H., Sept 1 2025, In: Chemical Engineering Journal. 519, 164905.Research output: Contribution to journal › Article › peer-review
8 Link opens in a new tab Citations (Scopus) -
Interpretation of machine learning-based prediction models and functional metagenomic approach to identify critical genes in HBCD degradation
Lin, Y. J., Hsieh, P. H., Mao, C. C., Shih, Y. H., Chen, S. H. & Lin, C. Y., Mar 15 2025, In: Journal of Hazardous Materials. 486, 136976.Research output: Contribution to journal › Article › peer-review
Open Access5 Link opens in a new tab Citations (Scopus) -
Unveiling the immune microenvironment of complex tissues and tumors in transcriptomics through a deconvolution approach
Chen, S. H., Yu, B. Y., Kuo, W. Y., Lin, Y. B., Su, S. Y., Chuang, W. H., Lu, I. H. & Lin, C. Y., May 2025, In: BMC Cancer. 25, Suppl 1, 733.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
Su, S.-Y. (Contributor), Lu, I.-H. (Contributor), Cheng, W.-C. (Contributor), Chung, W.-C. (Creator), Chen, P.-Y. (Contributor), Ho, J.-M. (Contributor), Chen, S.-H. (Contributor) & Lin, C.-Y. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.c.4921002.v1, https://springernature.figshare.com/collections/EpiMOLAS_an_intuitive_web-based_framework_for_genome-wide_DNA_methylation_analysis/4921002/1
Dataset
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Additional file 1 of EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
Lu, I.-H. (Contributor), Chen, S.-H. (Contributor), Cheng, W.-C. (Contributor), Su, S.-Y. (Contributor), Ho, J.-M. (Contributor), Chen, P.-Y. (Contributor), Chung, W.-C. (Creator) & Lin, C.-Y. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.12072510.v1, https://doi.org/10.6084%2Fm9.figshare.12072510.v1
Dataset