Showing results (11-20 of 158) with videos related to

Sort By:
Pageof 16
Communications Biology|April 4, 2025
Flexible integration of spatial and expression information for precise spot embedding via ZINB-based graph-enhanced autoencoderJiacheng Leng, Jiating Yu, Ling-Yun Wu, et al.
Plant Diversity|September 18, 2024
Elevational and temporal patterns of pollination success in distylous and homostylous buckwheats (<i>Fagopyrum</i>) in the Hengduan MountainsLing-Yun Wu, Shuang-Quan Huang, Ze-Yu Tong
Proteins|January 6, 2006
Inferring protein interactions from experimental data by association probabilistic methodLuonan Chen, Ling-Yun Wu, Yong Wang, et al.
BMC Systems Biology|September 28, 2017
NetGen: a novel network-based probabilistic generative model for gene set functional enrichment analysisDuanchen Sun, Yinliang Liu, Xiang-Sun Zhang, et al.
BMC Systems Biology|May 28, 2010
An information-flow-based model with dissipation, saturation and direction for active pathway inferenceXianwen Ren, Xiaobo Zhou, Ling-Yun Wu, et al.
Bioinformatics (Oxford, England)|September 18, 2012
Efficient methods for identifying mutated driver pathways in cancerJunfei Zhao, Shihua Zhang, Ling-Yun Wu, et al.
Scientific Reports|September 1, 2018
CEA: Combination-based gene set functional enrichment analysisDuanchen Sun, Yinliang Liu, Xiang-Sun Zhang, et al.
BMC Bioinformatics|August 10, 2014
Discovery of co-occurring driver pathways in cancerJunhua Zhang, Ling-Yun Wu, Xiang-Sun Zhang, et al.
Plos One|February 15, 2013
iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid compositionYan Xu, Jun Ding, Ling-Yun Wu, et al.
Chinese Journal of Cancer|December 15, 2012
GOMA: functional enrichment analysis tool based on GO modulesQiang Huang, Ling-Yun Wu, Yong Wang, et al.
Pageof 16