Fei Guo
Fei Guo
School of Computer Science and Technology, Tianjin University
在 tju.edu.cn 的電子郵件地址已通過驗證 - 首頁
Improved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifier
L Wei, P Xing, J Zeng, JX Chen, R Su, F Guo
Artificial Intelligence in Medicine 83, 67-74, 2017
Identification of drug-target interactions via multiple information integration
Y Ding, J Tang, F Guo
Information Sciences 418, 546-560, 2017
Predicting protein-protein interactions via multivariate mutual information of protein sequences
Y Ding, J Tang, F Guo
BMC bioinformatics 17 (1), 398, 2016
Identification of protein–protein interactions via a novel matrix-based sequence representation model with amino acid contact information
Y Ding, J Tang, F Guo
International journal of molecular sciences 17 (10), 1623, 2016
Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC
Y Shen, J Tang, F Guo
Journal of theoretical biology 462, 230-239, 2019
Identification of drug-side effect association via multiple information integration with centered kernel alignment
Y Ding, J Tang, F Guo
Neurocomputing 325, 211-224, 2019
Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine
P Xing, R Su, F Guo, L Wei
Scientific reports 7, 46757, 2017
Identification of protein–ligand binding sites by sequence information and ensemble classifier
Y Ding, J Tang, F Guo
Journal of chemical information and modeling 57 (12), 3149-3161, 2017
A novel computational method for detecting DNA methylation sites with DNA sequence information and physicochemical properties
G Pan, L Jiang, J Tang, F Guo
International journal of molecular sciences 19 (2), 511, 2018
MDA-SKF: similarity kernel fusion for accurately discovering miRNA-disease association
L Jiang, Y Ding, J Tang, F Guo
Frontiers in genetics 9, 618, 2018
FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association
L Jiang, Y Xiao, Y Ding, J Tang, F Guo
BMC genomics 19 (10), 11-25, 2018
An ameliorated prediction of drug–target interactions based on multi-scale discrete wavelet transform and network features
C Shen, Y Ding, J Tang, X Xu, F Guo
International journal of molecular sciences 18 (8), 1781, 2017
Improved detection of DNA-binding proteins via compression technology on PSSM information
Y Wang, Y Ding, F Guo, L Wei, J Tang
PloS one 12 (9), 2017
Protein-protein binding site identification by enumerating the configurations
F Guo, SC Li, L Wang, D Zhu
BMC bioinformatics 13 (1), 158, 2012
Application of machine learning in microbiology
K Qu, F Guo, X Liu, Y Lin, Q Zou
Frontiers in microbiology 10, 2019
Identification of DNA–protein binding sites through multi-scale local average blocks on sequence information
C Shen, Y Ding, J Tang, J Song, F Guo
Molecules 22 (12), 2079, 2017
Identification of 14-3-3 proteins phosphopeptide-binding specificity using an affinity-based computational approach
Z Li, J Tang, F Guo
PloS one 11 (2), 2016
Analysis of co-associated transcription factors via ordered adjacency differences on motif distribution
G Pan, J Tang, F Guo
Scientific reports 7 (1), 1-9, 2017
Identification of protein–protein interactions by detecting correlated mutation at the interface
F Guo, Y Ding, Z Li, J Tang
Journal of chemical information and modeling 55 (9), 2042-2049, 2015
Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree
C Zhou, H Yu, Y Ding, F Guo, XJ Gong
PloS one 12 (8), 2017
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