المؤلفون: Wee, JunJie, Wei, Guo-Wei

مصطلحات موضوعية: Quantitative Biology - Biomolecules, Mathematics - Algebraic Topology, Quantitative Biology - Quantitative Methods

الوصول الحر: http://arxiv.org/abs/2406.03979Test

المؤلفون: Chen, Dong, Liu, Gengzhuo, Du, Hongyan, Wee, Junjie, Wang, Rui, Chen, Jiahui, Shen, Jana, Wei, Guo-Wei

مصطلحات موضوعية: Quantitative Biology - Quantitative Methods

الوصول الحر: http://arxiv.org/abs/2403.02603Test

المؤلفون: Wee, JunJie, Chen, Jiahui, Xia, Kelin, Wei, Guo-Wei

مصطلحات موضوعية: Quantitative Biology - Biomolecules, Mathematics - Algebraic Topology

الوصول الحر: http://arxiv.org/abs/2310.18760Test

المؤلفون: Shen, Cong, Ding, Pingjian, Wee, Junjie, Bi, Jialin, Luo, Jiawei, Xia, Kelin

مصطلحات موضوعية: Quantitative Biology - Quantitative Methods, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Quantitative Biology - Biomolecules

الوصول الحر: http://arxiv.org/abs/2306.13699Test

المؤلفون: Wee, JunJie, Bianconi, Ginestra, Xia, Kelin

مصطلحات موضوعية: Quantitative Biology - Biomolecules

الوصول الحر: http://arxiv.org/abs/2302.02386Test

المؤلفون: Shen, Cong, Ding, Pingjian, Wee, Junjie, Bi, Jialin, Luo, Jiawei, Xia, Kelin

المساهمون: School of Physical and Mathematical Sciences

مصطلحات موضوعية: Mathematical Sciences, Ollivier-Ricci curvature, Graph convolutional network

وصف الملف: application/pdf

العلاقة: RG16/23; MOE-T2EP20120-0013; MOE-T2EP20220-0010; MOE-T2EP20221-0003; Computational and Structural Biotechnology Journal; Shen, C., Ding, P., Wee, J., Bi, J., Luo, J. & Xia, K. (2024). Curvature-enhanced graph convolutional network for biomolecular interaction prediction. Computational and Structural Biotechnology Journal, 23, 1016-1025. https://dx.doi.org/10.1016/j.csbj.2024.02.006Test; https://hdl.handle.net/10356/174927Test; 2-s2.0-85185555360; 23; 1016; 1025

الإتاحة: https://doi.org/10.1016/j.csbj.2024.02.006Test
https://hdl.handle.net/10356/174927Test

المؤلفون: Wee, JunJie, Chen, Jiahui, Xia, Kelin, Wei, Guo-Wei

المساهمون: Bristol-Myers Squibb, NSF, Pfizer, National Science Foundation, Michigan State University Foundation, National Institutes of Health, Ministry of Education - Singapore, National Aeronautics and Space Administration, Nanyang Technological University

المصدر: Computers in Biology and Medicine ; volume 169, page 107918 ; ISSN 0010-4825

مصطلحات موضوعية: Health Informatics, Computer Science Applications

الإتاحة: https://doi.org/10.1016/j.compbiomed.2024.107918Test
https://api.elsevier.com/content/article/PII:S0010482524000027?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0010482524000027?httpAccept=text/plainTest

المؤلفون: Wee, JunJie, Xia, Kelin

مصطلحات موضوعية: Quantitative Biology - Biomolecules

الوصول الحر: http://arxiv.org/abs/2011.10281Test

المؤلفون: Koh, Ronald Joon Wei, Wee, Junjie, Laurent, Valerie Evangelin, Xia, Kelin

المساهمون: School of Physical and Mathematical Sciences

مصطلحات موضوعية: Science::Mathematics, Chromosome, Data Analysis

وصف الملف: application/pdf

العلاقة: M4081842; RG109/19; MOE-T2EP20120-0013; MOE-T2EP20220-0010; Scientific Reports; Koh, R. J. W., Wee, J., Laurent, V. E. & Xia, K. (2022). Hodge theory-based biomolecular data analysis. Scientific Reports, 12(1), 9699-. https://dx.doi.org/10.1038/s41598-022-12877-zTest; https://hdl.handle.net/10356/160448Test; 2-s2.0-85131819156; 12; 9699

الإتاحة: https://doi.org/10.1038/s41598-022-12877-zTest
https://hdl.handle.net/10356/160448Test

المؤلفون: Wei, Ronald Koh Joon, Wee, Junjie, Laurent, Valerie Evangelin, Xia, Kelin

المساهمون: Nanyang Technological University Startup Grant

المصدر: Scientific Reports ; volume 12, issue 1 ; ISSN 2045-2322

مصطلحات موضوعية: Multidisciplinary

الإتاحة: https://doi.org/10.1038/s41598-022-12877-zTest
https://www.nature.com/articles/s41598-022-12877-z.pdfTest
https://www.nature.com/articles/s41598-022-12877-zTest