Showing results (41-50 of 1,971) with videos related to

Sort By:
Pageof 198
Bioinformatics (Oxford, England)|March 21, 2026
SA2E: spatial-aware auto-encoder for cell type deconvolution of spatial transcriptomics dataYaxiong Ma, Zengfa Dou, Yuhong Zha, et al.
Plos Computational Biology|January 13, 2026
Network models for bridging denoising and identifying spatial domains of spatially resolved transcriptomicsHaiyue Wang, Wensheng Zhang, Zaiyi Liu, et al.
Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology|March 25, 2009
[Heat shock proteins of the hyperthermophilic archaea]Huayou Chen, Chunxia Zhang, Xiaoke Ma, et al.
Briefings in Bioinformatics|October 4, 2025
Denoising spatially resolved transcriptomics with consistency of heterogeneous spatial coordinates, transcription, and morphologyHaiyue Wang, Peng Gao, Shaoqing Feng, et al.
BMC Systems Biology|February 4, 2017
The extraction of drug-disease correlations based on module distance in incomplete human interactomeLiang Yu, Bingbo Wang, Xiaoke Ma, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 4, 2023
Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation LearningXiaowei Gao, Yan Wang, Weimin Hou, et al.
BMC Bioinformatics|January 12, 2022
Predicting combinations of drugs by exploiting graph embedding of heterogeneous networksFei Song, Shiyin Tan, Zengfa Dou, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 16, 2016
Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer ProgressionXiaoke Ma, Wanxin Tang, Peizhuo Wang, et al.
BMC Bioinformatics|February 1, 2017
Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression dataXiaoke Ma, Zaiyi Liu, Zhongyuan Zhang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 21, 2024
Learning multi-level topology representation for multi-view clustering with deep non-negative matrix factorizationZengfa Dou, Nian Peng, Weiming Hou, et al.
Pageof 198