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Xingli Guo
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2020 – today
- 2024
- [j7]Yahui Lei, Xiao-Tai Huang
, Xingli Guo, Kei Hang Katie Chan
DeepGRNCS: deep learning-based framework for jointly inferring gene regulatory networks across cell subpopulations. Briefings Bioinform. 25(4) (2024) - 2023
- [c1]Xingli Guo, Liang Lu, Yun Yao, Lin Gao:
Mining disease-associated genes based on heterogeneous graph transformer. BIBM 2023: 528-533 - 2020
- [j6]Qianqian Yuan, Xingli Guo, Yang Ren, Xiao Wen
Cluster correlation based method for lncRNA-disease association prediction. BMC Bioinform. 21(1): 180 (2020) - [j5]Bingbo Wang
C3: connect separate connected components to form a succinct disease module. BMC Bioinform. 21(1): 433 (2020)
2010 – 2019
- 2019
- [j4]Yuwei Zhang, Yang Tao, Huihui Ji, Wei Li, Xingli Guo, Derry Minyao Ng
Genome-wide identification of the essential protein-coding genes and long non-coding RNAs for human pan-cancer. Bioinform. 35(21): 4344-4349 (2019) - 2018
- [j3]Xiao Wen
lncSLdb: a resource for long non-coding RNA subcellular localization. Database J. Biol. Databases Curation 2018: bay085 (2018) - [j2]Xiaoke Ma
Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 647-658 (2018) - 2016
- [j1]Yue Deng, Lin Gao, Xingli Guo, Bingbo Wang:
Integrating phenotypic features and tissue-specific information to prioritize disease genes. Sci. China Inf. Sci. 59(7): 070101:1-070101:10 (2016)
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last updated on 2024-12-12 21:59 CET by the dblp team
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