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Mingguang Shi

Showing results (1-10 of 19) with videos related to

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Bioinformatics (Oxford, England)|September 7, 2011
Semi-supervised learning improves gene expression-based prediction of cancer recurrenceMingguang Shi, Bing Zhang
BMC 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 Xu
Molecular Biosystems|February 12, 2016
SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatmentMingguang Shi, Jianmin He
Briefings in Bioinformatics|January 8, 2025
Addressing scalability and managing sparsity and dropout events in single-cell representation identification with ZIGACLMingguang Shi, Xuefeng Li
Peerj|March 19, 2016
ColoFinder: a prognostic 9-gene signature improves prognosis for 871 stage II and III colorectal cancer patientsMingguang Shi, Jianmin He
Yan Ke Xue Bao = Eye Science|December 14, 2006
[Analysis of curvature distribution on corneal surface]Yanling Zhang, Mingguang Shi
Scientific Reports|July 9, 2017
Spectral clustering using Nyström approximation for the accurate identification of cancer molecular subtypesMingguang Shi, Guofu Xu
Journal of Biomedical Optics|August 17, 2012
Anterior corneal asphericity calculated by the tangential radius of curvatureJinglu Ying, Bo Wang, Mingguang Shi
Computational Biology and Chemistry|April 25, 2026
Erratum to "SCTGE infers transformer-based graph embeddings to improve cell-cell interaction identification and cell identity annotations" [Comput. Biol. Chem. 123 (August) (2026) 109064]Yichong Si, Chenxi Li, Mingguang Shi
Peerj|August 21, 2023
LIDER: cell embedding based deep neural network classifier for supervised cell type identificationYachen Tang, Xuefeng Li, Mingguang Shi
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|September 7, 2011
Semi-supervised learning improves gene expression-based prediction of cancer recurrenceMingguang Shi, Bing Zhang
BMC 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 Xu
Molecular Biosystems|February 12, 2016
SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatmentMingguang Shi, Jianmin He
Briefings in Bioinformatics|January 8, 2025
Addressing scalability and managing sparsity and dropout events in single-cell representation identification with ZIGACLMingguang Shi, Xuefeng Li
Peerj|March 19, 2016
ColoFinder: a prognostic 9-gene signature improves prognosis for 871 stage II and III colorectal cancer patientsMingguang Shi, Jianmin He
Yan Ke Xue Bao = Eye Science|December 14, 2006
[Analysis of curvature distribution on corneal surface]Yanling Zhang, Mingguang Shi
Scientific Reports|July 9, 2017
Spectral clustering using Nyström approximation for the accurate identification of cancer molecular subtypesMingguang Shi, Guofu Xu
Journal of Biomedical Optics|August 17, 2012
Anterior corneal asphericity calculated by the tangential radius of curvatureJinglu Ying, Bo Wang, Mingguang Shi
Computational Biology and Chemistry|April 25, 2026
Erratum to "SCTGE infers transformer-based graph embeddings to improve cell-cell interaction identification and cell identity annotations" [Comput. Biol. Chem. 123 (August) (2026) 109064]Yichong Si, Chenxi Li, Mingguang Shi
Peerj|August 21, 2023
LIDER: cell embedding based deep neural network classifier for supervised cell type identificationYachen Tang, Xuefeng Li, Mingguang Shi
Pageof 2