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Journal Articles

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2023
[j5]
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  - https://dblp.org/rec/journals/tcbb/WuLCSH23
Tzu-Hsuan Wu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, Sun-Yuan Hsieh:
Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 606-615 (2023)
[j4]
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Deng-Yao Tu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, Sun-Yuan Hsieh:
Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3267-3277 (2023)
2022
[j3]
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Sina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang:
DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1336-1343 (2022)
2021
[j2]
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Sina Abdollahi, Peng-Chan Lin, Meng-Ru Shen, Jung-Hsien Chiang:
Precise uncertain significance prediction using latent space matrix factorization models: genomics variant and heterogeneous clinical data-driven approaches. Briefings Bioinform. 22(4) (2021)
[j1]
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Sina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang:
WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models. IEEE J. Biomed. Health Informatics 25(10): 4052-4063 (2021)

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