Kai-Yan Feng

发表

Using LogitBoost classifier to predict protein structural classes.

K. Chou, Yu-Dong Cai, W. Lu, 2006, Journal of theoretical biology.

Prediction of Protein-Protein Interaction Sites by Random Forest Algorithm with mRMR and IFS

Yu-Dong Cai, Tao Huang, Lei Chen, 2012, PloS one.

Predicting DNA-binding sites of proteins based on sequential and 3D structural information

Yu-Dong Cai, Kai-Yan Feng, Bi-Qing Li, 2014, Molecular Genetics and Genomics.

Prediction of Deleterious Non-Synonymous SNPs Based on Protein Interaction Network and Hybrid Properties

Yu-Dong Cai, ZhiSong He, Lele Hu, 2010, PloS one.

Analysis and Prediction of the Metabolic Stability of Proteins Based on Their Sequential Features, Subcellular Locations and Interaction Networks

K. Chou, Yu-Dong Cai, ZhiSong He, 2010, PloS one.

Classification of transcription factors using protein primary structure.

Yu-Dong Cai, Kai-Yan Feng, Xiang-Yin Kong, 2010, Protein and peptide letters.

Predicting subcellular localization with AdaBoost Learner.

Bing Niu, Yu-Dong Cai, Kai-Yan Feng, 2008, Protein and peptide letters.

Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways

Lei Chen, Yu-Dong Cai, Bi-Qing Li, 2013, BioMed research international.

Inter- and intra-chain disulfide bond prediction based on optimal feature selection.

Yu-Dong Cai, ZhiSong He, Tao Huang, 2013, Protein and peptide letters.

A Unified 35-Gene Signature for both Subtype Classification and Survival Prediction in Diffuse Large B-Cell Lymphomas

Tao Huang, Yu-Dong Cai, Lu Xie, 2010, PloS one.

Prediction of Protein Domain with mRMR Feature Selection and Analysis

Kuo-Chen Chou, Lei Chen, Yu-Dong Cai, 2012, PloS one.

A novel voting system for the identification of eukaryotic genome promoters

Yu-Dong Cai, ZhiSong He, Kai-Yan Feng, 2010 .

Prediction of Drugs Target Groups Based on ChEBI Ontology

Yang Jiang, Tao Zhang, Lei Chen, 2013, BioMed research international.

Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning Methods

Tao Huang, Lei Chen, Hao Li, 2022, Frontiers in Molecular Biosciences.

Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods

Tao Huang, Lei Chen, Kai-Yan Feng, 2022, Frontiers in Genetics.

Frontiers in Protein and Peptide Sciences

Wei Chen, Hui Ding, Kuo-Chen Chou, 2014 .

A Comparison of Computational Methods for Identifying Virulence Factors

Kuo-Chen Chou, Yu-Dong Cai, Pei Hao, 2012, PloS one.

Identification of methylation signatures associated with CAR T cell in B-cell acute lymphoblastic leukemia and non-hodgkin’s lymphoma

Fei Huang, Tao Huang, Lei Chen, 2022, Frontiers in Oncology.

Predicting DNA-binding sites of proteins based on sequential and 3D structural information

Yu-Dong Cai, Kai-Yan Feng, Bi-Qing Li, 2014, Molecular Genetics and Genomics.

Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods

Tao Huang, Lei Chen, Hao Li, 2022, Biomolecules.

Prediction of Cancer Drugs by Chemical-Chemical Interactions

Lei Chen, Yu-Dong Cai, Kai-Yan Feng, 2014, PloS one.

Prediction of Protein Cleavage Site with Feature Selection by Random Forest

Yu-Dong Cai, Bi-Qing Li, Kai-Yan Feng, 2012, PloS one.

Using AdaBoost for the prediction of subcellular location of prokaryotic and eukaryotic proteins

Guo-Zheng Li, Bing Niu, Yu-Dong Cai, 2008, Molecular Diversity.

Gene finding by integrating gene finders

Bing Li, Yu-Dong Cai, Lin Lu, 2010 .

Discovering Aging-Genes by Topological Features in Drosophila melanogaster Protein-Protein Interaction Network

Kai Feng, Xin Song, Jian-Hui Li, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Analysis and Prediction of Translation Rate Based on Sequence and Functional Features of the mRNA

Tao Huang, Yu-Dong Cai, Kai-Yan Feng, 2011, PloS one.

Topological anaylysis and prediction of aging genes in Mus musculus

Kai-Yan Feng, Yan-Hui Li, Kai Feng, 2012, 2012 International Conference on Systems and Informatics (ICSAI2012).

Using protein-protein interaction network information to predict the subcellular locations of proteins in budding yeast.

Kuo-Chen Chou, Yu-Dong Cai, Kai-Yan Feng, 2012, Protein and peptide letters.

Identification of Age-Related Macular Degeneration Related Genes by Applying Shortest Path Algorithm in Protein-Protein Interaction Network

Lei Chen, Yu-Dong Cai, Kai-Yan Feng, 2013, BioMed research international.

Prediction of compounds’ biological function (metabolic pathways) based on functional group composition

Lin Lu, Bing Niu, Yu-Dong Cai, 2008, Molecular Diversity.

Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection.

Yang Jiang, Yu-Dong Cai, Bi-Qing Li, 2013, Molecular bioSystems.

Machine Learning Classification of Time since BNT162b2 COVID-19 Vaccination Based on Array-Measured Antibody Activity

Fei Huang, Kai-Yan Feng, Yunpeng Cai, 2023, Life.

Support Vector Machine for predicting α-turn types

Kuo-Chen Chou, Yu-Dong Cai, Yi-Xue Li, 2003, Peptides.

Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition

Kuo-Chen Chou, Lei Chen, Yu-Dong Cai, 2010, BMC Bioinformatics.

Prediction of drug target groups based on chemical-chemical similarities and chemical-chemical/protein connections.

Lei Chen, Kai-Yan Feng, Lei Chen, 2014, Biochimica et biophysica acta.

Identification of Gene Markers Associated with COVID-19 Severity and Recovery in Different Immune Cell Subtypes

Lei Chen, Kai-Yan Feng, Lin Lu, 2023, Biology.

Structural-interaction link prediction in microblogs

Xueqi Cheng, Jingyuan Li, Yuanzhuo Wang, 2013, WWW.

Support vector machine for predicting alpha-turn types.

Kuo-Chen Chou, Yu-Dong Cai, Kai-Yan Feng, 2003, Peptides.

Predicting protein oxidation sites with feature selection and analysis approach

K. Chou, Lele Hu, Tao Huang, 2012, Journal of Biomolecular Structure and Dynamics.

Predicting membrane protein types with bragging learner.

Liang Liu, Guo-Zheng Li, Bing Niu, 2008, Protein and peptide letters.

Using LogitBoost classifier to predict protein structural classes.

K. Chou, Yu-Dong Cai, W. Lu, 2006, Journal of theoretical biology.

Correction: Predicting Metabolic Pathways of Small Molecules and Enzymes Based on Interaction Information of Chemicals and Proteins

Yu-Dong Cai, Tao Huang, Lei Chen, 2012, PLoS ONE.

Predicting Metabolic Pathways of Small Molecules and Enzymes Based on Interaction Information of Chemicals and Proteins

Lei Chen, Tao Huang, Yu-Dong Cai, 2012, PloS one.