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Bioinformatics (Oxford, England)|September 7, 2011
Semi-supervised learning improves gene expression-based prediction of cancer recurrenceMingguang Shi, Bing ZhangPlos One|July 31, 2012
A network-based gene expression signature informs prognosis and treatment for colorectal cancer patientsMingguang Shi, R Daniel Beauchamp, Bing ZhangBMC Medical Genomics|June 28, 2019
Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemiaMingguang Shi, Guofu XuPeerj|March 19, 2016
ColoFinder: a prognostic 9-gene signature improves prognosis for 871 stage II and III colorectal cancer patientsMingguang Shi, Jianmin HeMolecular Biosystems|February 12, 2016
SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatmentMingguang Shi, Jianmin HeBriefings in Bioinformatics|January 8, 2025
Addressing scalability and managing sparsity and dropout events in single-cell representation identification with ZIGACLMingguang Shi, Xuefeng LiYan Ke Xue Bao = Eye Science|December 14, 2006
[Analysis of curvature distribution on corneal surface]Yanling Zhang, Mingguang ShiScientific Reports|July 9, 2017
Spectral clustering using Nyström approximation for the accurate identification of cancer molecular subtypesMingguang Shi, Guofu XuJournal of Biomedical Optics|August 17, 2012
Anterior corneal asphericity calculated by the tangential radius of curvatureJinglu Ying, Bo Wang, Mingguang ShiPeerj|August 21, 2023
LIDER: cell embedding based deep neural network classifier for supervised cell type identificationYachen Tang, Xuefeng Li, Mingguang ShiPageof 485