Wan Xiang Shen
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Explore the profile of Wan Xiang Shen including associated specialties, affiliations and a list of published articles.
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9
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9
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Recent Articles
1.
Shen W, Cui C, Su X, Zhang Z, Velez-Arce A, Wang J, et al.
Res Sq
. 2024 Dec;
PMID: 39678335
Modeling molecular activity and quantitative structure-activity relationships of chemical compounds is critical in drug design. Graph neural networks, which utilize molecular structures as frames, have shown success in assessing the...
2.
Lu S, Huang Y, Shen W, Cao Y, Cai M, Chen Y, et al.
PNAS Nexus
. 2024 Aug;
3(8):pgae268.
PMID: 39192845
Feature representation is critical for data learning, particularly in learning spectroscopic data. Machine learning (ML) and deep learning (DL) models learn Raman spectra for rapid, nondestructive, and label-free cell phenotype...
3.
Liu Y, Sundah N, Ho N, Shen W, Xu Y, Natalia A, et al.
Nat Biomed Eng
. 2024 Jun;
8(7):909-923.
PMID: 38898172
Capturing the full complexity of the diverse hierarchical interactions in the protein interactome is challenging. Here we report a DNA-barcoding method for the multiplexed mapping of pairwise and higher-order protein...
4.
Zhang Z, Shen W, Liu Q, Zitnik M
bioRxiv
. 2024 Mar;
PMID: 38464121
Designing protein-binding proteins is critical for drug discovery. However, the AI-based design of such proteins is challenging due to the complexity of ligand-protein interactions, the flexibility of ligand molecules and...
5.
Cheng K, Shen W, Jiang Y, Chen Y, Chen Y, Tan Y
Comput Biol Med
. 2023 Jul;
164:107245.
PMID: 37480677
Clinical outcome prediction is important for stratified therapeutics. Machine learning (ML) and deep learning (DL) methods facilitate therapeutic response prediction from transcriptomic profiles of cells and clinical samples. Clinical transcriptomic...
6.
Shen W, Chen Y
Patterns (N Y)
. 2023 Jan;
4(1):100673.
PMID: 36699736
Wan Xiang Shen, a postdoctoral researcher at National University of Singapore, and Yu Zong Chen, the PI of the Bioinformatics and Drug Design (BIDD) group, have developed an AI pipeline...
7.
Shen W, Liang S, Jiang Y, Chen Y
Patterns (N Y)
. 2023 Jan;
4(1):100658.
PMID: 36699735
Metagenomic analysis has been explored for disease diagnosis and biomarker discovery. Low sample sizes, high dimensionality, and sparsity of metagenomic data challenge metagenomic investigations. Here, an unsupervised microbial embedding, grouping,...
8.
Shen W, Liu Y, Chen Y, Zeng X, Tan Y, Jiang Y, et al.
Nucleic Acids Res
. 2022 Jan;
50(8):e45.
PMID: 35100418
Omics-based biomedical learning frequently relies on data of high-dimensions (up to thousands) and low-sample sizes (dozens to hundreds), which challenges efficient deep learning (DL) algorithms, particularly for low-sample omics investigations....
9.
Sun B, Wu X, Shen W
Zhongguo Gu Shang
. 2016 May;
29(2):149-53.
PMID: 27141785
Objective: To investigate the clinical characteristics of Segond fracture combined with injuries, and to explore the operative method and opportunity. Methods: From June 2010 to December 2014, 10 patients with...