Showing results (21-30 of 1,971) with videos related to
Sort By:
Pageof 198
Bioscience Reports|July 8, 2020
Novel prognostic prediction model constructed through machine learning on the basis of methylation-driven genes in kidney renal clear cell carcinomaWeihao Tang, Yiling Cao, Xiaoke MaMolecules (Basel, Switzerland)|December 15, 2017
Multi-Objective Optimization Algorithm to Discover Condition-Specific Modules in Multiple NetworksXiaoke Ma, Penggang Sun, Jianbang ZhaoBioinformatics (Oxford, England)|April 29, 2014
Modeling disease progression using dynamics of pathway connectivityXiaoke Ma, Long Gao, Kai TanIEEE Journal of Biomedical and Health Informatics|May 6, 2024
Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic DataHaiyue Wang, Zaiyi Liu, Xiaoke MaBriefings in Bioinformatics|February 11, 2026
Signal-based spatial domain identification of spatially resolved transcriptomics with multigraph fusionYaxiong Ma, Yu Wang, Xiaoke MaBriefings in Bioinformatics|January 19, 2022
Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell typesWenming Wu, Wensheng Zhang, Xiaoke MaIEEE Transactions on Cybernetics|March 14, 2022
Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of FeaturesWenming Wu, Maoguo Gong, Xiaoke MaIEEE/ACM Transactions on Computational Biology and Bioinformatics|March 29, 2021
Dynamic Module Detection in Temporal Attributed Networks of CancersDongyuan Li, Shuyao Zhang, Xiaoke MaIEEE/ACM Transactions on Computational Biology and Bioinformatics|August 6, 2020
An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix DecompositionXiaoke Ma, Penggang Sun, Maoguo GongGenome Medicine|March 14, 2025
MuCST: restoring and integrating heterogeneous morphology images and spatial transcriptomics data with contrastive learningYu Wang, Zaiyi Liu, Xiaoke MaPageof 198