Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research focused on Computational biology and Python (programming language), with related work in Feature selection, Promoter, Support vector machine. Notable publications include 'iFeature : a Python package and web server for features extraction and selection from protein and peptide sequences', 'iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data', and 'iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC'.
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters
<i>iFeature</i>: a Python package and web server for features extraction and selection from protein and peptide sequences
iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC
<i>Quokka</i>: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods
Bastion3: a two-layer ensemble predictor of type III secreted effectors
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
Insight into a molecular interaction force supporting peptide backbones and its implication to protein loops and folding
Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection
Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network
Hepatitis C Virus Network Based Classification of Hepatocellular Cirrhosis and Carcinoma