Published in Cell Press Patterns, 2023
PEOPLE OF DATA
Shen W X, Chen Y Z. Toward ordered-omics data science: Researchers on the magic of turning metagenomic chaos into image-like patterns[J]. Patterns, 2023, 4(1): 100673. https://www.cell.com/patterns/fulltext/S2666-3899(22)00320-8
Published in Cell Press Patterns, 2023
2D-Representations for metagenomic data deep learning
Shen W X, Liang S R, Jiang Y Y, et al. Enhanced metagenomic deep learning for disease prediction and consistent signature recognition by restructured microbiome 2D representations[J]. Patterns, 2023, 4(1): 100658. https://www.cell.com/patterns/fulltext/S2666-3899(22)00298-7
Published in Nucleic Acids Research, 2022
AggMapNet for Omics-based disease prediction and key biomarker discovery
Recommended citation: Shen W X, Liu Y, Chen Y, et al. AggMapNet: Enhanced and Explainable Low-Sample Omics Deep Learning with Feature-Aggregated Multi-Channel Networks[J]. Nucleic Acids Research., 2022, 50(8): e45-e45. https://academic.oup.com/nar/article/50/8/e45/6517966
Published in Nature Machine Intelligence, 2021
2D-Representations for small molecular deep learning and property prediction
Recommended citation: Shen W X, Zeng X, Zhu F, et al. Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations[J]. Nature Machine Intelligence, 2021, 3(4): 334-343. https://www.nature.com/articles/s42256-021-00301-6
Published in ACS sensors, 2022
Sensor array based breast cancer detection
Recommended citation: Jin, Y., Du, N., Huang, Y., Shen, W. X., Tan, Y., Chen, Y. Z., ... & Tan, C. Fluorescence Analysis of Circulating Exosomes for Breast Cancer Diagnosis Using a Sensor Array and Deep Learning. ACS sensors, 2022, 7(5), 1524–1532 https://pubs.acs.org/doi/abs/10.1021/acssensors.2c00259
Published in ACS Chemical Biology, 2021
Phenotypic Screen of samll molecules that for Malaria
Recommended citation: Chia, W., Gomez-Lorenzo, M. G., Castellote, I., Tong, J. X., Chandramohanadas, R., Thu Chu, T. T., Shen, W. X., ... & Tan, K. S. High-Content Phenotypic Screen of a Focused TCAMS Drug Library Identifies Novel Disruptors of the Malaria Parasite Calcium Dynamics. ACS Chemical Biology, 2021, 16(11), 2348-2372 https://pubs.acs.org/doi/pdf/10.1021/acschembio.1c00512
Published in Nucleic Acids Research, 2021
microbiota—active substance interactions database
Recommended citation: Zeng, X., Yang, X., Fan, J., Tan, Y., Ju, L., Shen, W. X., ... & Chen, Y. Z. MASI: microbiota—active substance interactions database. Nucleic Acids Research, 2021, 49(D1), D776-D782. https://academic.oup.com/nar/article/49/D1/D776/5943835
Published in Molecular Informatics, 2017
Predicting Enzymatic Hydrolysis Half-lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination
Recommended citation: Shen W X, Xiao T, Chen S, et al. Predicting the Enzymatic Hydrolysis Half‐lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination[J]. Molecular informatics, 2017, 36(11): 1600153. https://onlinelibrary.wiley.com/doi/10.1002/minf.201600153
Published in Oncotarget, 2017
Arctigenin inhibits STAT3 and exhibits anticancer potential in human triple-negative breast cancer therapy
Recommended citation: Feng T. T. *, Cao W.*, Shen W X, et al. Arctigenin inhibits STAT3 and exhibits anticancer potential in human triple-negative breast cancer therapy [J]. Oncotarget, 2017, 8(1):329-344. https://www.oncotarget.com/article/13393/text/
Published in Open Life Science, 2015
Mutation of the conserved GRG motif and decreasing activity of human RNase H2
Recommended citation: Li L, Shen W X, Zheng J., et al. Mutation of the conserved GRG motif and decreasing activity of human RNase H2 [J]. Open Life Science., 2015, 10(1). https://agris.fao.org/agris-search/search.do?recordID=US201800174231