Fei Guo
Fei Guo
School of Computer Science and Technology, Tianjin University
Verified email at tju.edu.cn - Homepage
Cited by
Cited by
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 drug-side effect association via multiple information integration with centered kernel alignment
Y Ding, J Tang, F Guo
Neurocomputing 325, 211-224, 2019
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 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
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
Application of machine learning in microbiology
K Qu, F Guo, X Liu, Y Lin, Q Zou
Frontiers in Microbiology 10, 827, 2019
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
AOPs-SVM: a sequence-based classifier of antioxidant proteins using a support vector machine
S Jin, L Wang, F Guo, Q Zou
Frontiers in Bioengineering and Biotechnology 7, 224, 2019
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
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
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), e0185587, 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
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
Protein-protein binding site identification by enumerating the configurations
F Guo, SC Li, L Wang, D Zhu
BMC bioinformatics 13 (1), 158, 2012
LPI-KTASLP: Prediction of lncRNA-protein interaction by semi-supervised link learning with multivariate information
C Shen, Y Ding, J Tang, L Jiang, F Guo
IEEE Access 7, 13486-13496, 2019
Identification of drug-side effect association via semisupervised model and multiple kernel learning
Y Ding, J Tang, F Guo
IEEE journal of biomedical and health informatics 23 (6), 2619-2632, 2018
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), e0181426, 2017
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