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Frontiers in Genetics
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October 5, 2020
Pseudo2GO: A Graph-Based Deep Learning Method for Pseudogene Function Prediction by Borrowing Information From Coding Genes
Kunjie Fan, Yan Zhang
Gigascience
|
August 10, 2020
Graph2GO: a multi-modal attributed network embedding method for inferring protein functions
Kunjie Fan, Yuanfang Guan, Yan Zhang
Briefings in Bioinformatics
|
August 4, 2021
Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects
Kunjie Fan, Lijun Cheng, Lang Li
Journal of Biomedical Semantics
|
May 29, 2023
Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature
Weixin Xie, Kunjie Fan, Shijun Zhang, et al.
BMC Bioinformatics
|
September 28, 2024
GenRCA: a user-friendly rare codon analysis tool for comprehensive evaluation of codon usage preferences based on coding sequences in genomes
Kunjie Fan, Yuanyuan Li, Zhiwei Chen, et al.
BMC Bioinformatics
|
July 23, 2020
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding
Fang Yang, Kunjie Fan, Dandan Song, et al.
Frontiers in Genetics
|
January 26, 2023
Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction
Kunjie Fan, Shan Tang, Birkan Gökbağ, et al.
Journal of Theoretical Biology
|
November 8, 2017
Viscoelastic shear lag model to predict the micromechanical behavior of tendon under dynamic tensile loading
Jiayu Wu, Hong Yuan, Longyuan Li, et al.
Plos Computational Biology
|
October 3, 2025
A multi-layer encoder prediction model for individual sample specific gene combination effect (MLEC-iGeneCombo)
Yun Shen, Kunjie Fan, Birkan Gökbağ, et al.
Nucleic Acids Research
|
October 27, 2023
SLKB: synthetic lethality knowledge base
Birkan Gökbağ, Shan Tang, Kunjie Fan, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Frontiers in Genetics
|
October 5, 2020
Pseudo2GO: A Graph-Based Deep Learning Method for Pseudogene Function Prediction by Borrowing Information From Coding Genes
Kunjie Fan, Yan Zhang
Gigascience
|
August 10, 2020
Graph2GO: a multi-modal attributed network embedding method for inferring protein functions
Kunjie Fan, Yuanfang Guan, Yan Zhang
Briefings in Bioinformatics
|
August 4, 2021
Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects
Kunjie Fan, Lijun Cheng, Lang Li
Journal of Biomedical Semantics
|
May 29, 2023
Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature
Weixin Xie, Kunjie Fan, Shijun Zhang, et al.
BMC Bioinformatics
|
September 28, 2024
GenRCA: a user-friendly rare codon analysis tool for comprehensive evaluation of codon usage preferences based on coding sequences in genomes
Kunjie Fan, Yuanyuan Li, Zhiwei Chen, et al.
BMC Bioinformatics
|
July 23, 2020
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding
Fang Yang, Kunjie Fan, Dandan Song, et al.
Frontiers in Genetics
|
January 26, 2023
Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction
Kunjie Fan, Shan Tang, Birkan Gökbağ, et al.
Journal of Theoretical Biology
|
November 8, 2017
Viscoelastic shear lag model to predict the micromechanical behavior of tendon under dynamic tensile loading
Jiayu Wu, Hong Yuan, Longyuan Li, et al.
Plos Computational Biology
|
October 3, 2025
A multi-layer encoder prediction model for individual sample specific gene combination effect (MLEC-iGeneCombo)
Yun Shen, Kunjie Fan, Birkan Gökbağ, et al.
Nucleic Acids Research
|
October 27, 2023
SLKB: synthetic lethality knowledge base
Birkan Gökbağ, Shan Tang, Kunjie Fan, et al.
Page
of 2