Tae Hwan Shin

MLACP: machine-learning-based prediction of anticancer peptides

Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin et al. · Oncotarget · 2017 · 266 citations · Full text

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation

Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin et al. · Bioinformatics · 2018 · 252 citations

AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest

Balachandran Manavalan, Tae Hwan Shin, Myeong O. Kim et al. · Frontiers in Pharmacology · 2018 · 224 citations · Full text

Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy

Balachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin et al. · Journal of Proteome Research · 2018 · 217 citations

Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation

Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin et al. · Molecular Therapy — Nucleic Acids · 2019 · 216 citations · Full text