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Briefings in Bioinformatics
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October 14, 2017
Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods
Shiping Yang, Hong Li, Huaqin He, et al.
Frontiers in Microbiology
|
May 2, 2022
Deep Learning-Powered Prediction of Human-Virus Protein-Protein Interactions
Xiaodi Yang, Shiping Yang, Panyu Ren, et al.
Molecular Biosystems
|
May 18, 2011
A predicted protein-protein interaction network of the filamentous fungus Neurospora crassa
Ting-You Wang, Fei He, Qi-Wen Hu, et al.
Bioinformatics (Oxford, England)
|
July 17, 2021
Transfer learning via multi-scale convolutional neural layers for human-virus protein-protein interaction prediction
Xiaodi Yang, Shiping Yang, Xianyi Lian, et al.
Journal of Proteome Research
|
April 16, 2019
Machine-Learning-Based Predictor of Human-Bacteria Protein-Protein Interactions by Incorporating Comprehensive Host-Network Properties
Xianyi Lian, Shiping Yang, Hong Li, et al.
Msystems
|
April 16, 2019
Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework
Shiping Yang, Chen Fu, Xianyi Lian, et al.
Plant Methods
|
December 7, 2023
Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein-protein interactions
Kewei Zhou, Chenping Lei, Jingyan Zheng, et al.
Amino Acids
|
April 15, 2016
SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information
Xuhan Liu, Shiping Yang, Chen Li, et al.
Computational and Structural Biotechnology Journal
|
January 24, 2020
Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
Xiaodi Yang, Shiping Yang, Qinmengge Li, et al.
Computational and Structural Biotechnology Journal
|
May 26, 2022
Proteome-wide prediction and analysis of the <i>Cryptosporidium parvum</i> protein-protein interaction network through integrative methods
Panyu Ren, Xiaodi Yang, Tianpeng Wang, et al.
Page
of 15
Search research articles
Search
Showing results (31-40 of 150) with videos related to
Sort By:
Page
of 15
Briefings in Bioinformatics
|
October 14, 2017
Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods
Shiping Yang, Hong Li, Huaqin He, et al.
Frontiers in Microbiology
|
May 2, 2022
Deep Learning-Powered Prediction of Human-Virus Protein-Protein Interactions
Xiaodi Yang, Shiping Yang, Panyu Ren, et al.
Molecular Biosystems
|
May 18, 2011
A predicted protein-protein interaction network of the filamentous fungus Neurospora crassa
Ting-You Wang, Fei He, Qi-Wen Hu, et al.
Bioinformatics (Oxford, England)
|
July 17, 2021
Transfer learning via multi-scale convolutional neural layers for human-virus protein-protein interaction prediction
Xiaodi Yang, Shiping Yang, Xianyi Lian, et al.
Journal of Proteome Research
|
April 16, 2019
Machine-Learning-Based Predictor of Human-Bacteria Protein-Protein Interactions by Incorporating Comprehensive Host-Network Properties
Xianyi Lian, Shiping Yang, Hong Li, et al.
Msystems
|
April 16, 2019
Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework
Shiping Yang, Chen Fu, Xianyi Lian, et al.
Plant Methods
|
December 7, 2023
Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein-protein interactions
Kewei Zhou, Chenping Lei, Jingyan Zheng, et al.
Amino Acids
|
April 15, 2016
SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information
Xuhan Liu, Shiping Yang, Chen Li, et al.
Computational and Structural Biotechnology Journal
|
January 24, 2020
Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
Xiaodi Yang, Shiping Yang, Qinmengge Li, et al.
Computational and Structural Biotechnology Journal
|
May 26, 2022
Proteome-wide prediction and analysis of the <i>Cryptosporidium parvum</i> protein-protein interaction network through integrative methods
Panyu Ren, Xiaodi Yang, Tianpeng Wang, et al.
Page
of 15