| 2019 | | 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N(4)-methylcytosine Sites in the Mouse Genome | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2021 | | Adaptive natural killer cells facilitate effector functions of daratumumab in multiple myeloma | 최윤석 |
| 2014 | | Allelic heterogeneity in NCF2 associated with systemic lupus erythematosus (SLE) susceptibility across four ethnic populations. | 서창희 |
| 2020 | | Amplification of transglutaminase 2 enhances tumor-promoting inflammation in gastric cancers | 이다근 |
| 2020 | | Bioinformatic analysis of proteomic data for iron, inflammation, and hypoxic pathways in restless legs syndrome | 김태준 |
| 2022 | | Cerebrospinal Fluid Metabolome in Parkinson’s Disease and Multiple System Atrophy | 신태환, 이광 |
| 2020 | | Dementia key gene identification with multi-layered SNP-gene-disease network | 손상준, 홍창형 |
| 2020 | | Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools | Balachandran, Manavalan |
| 2019 | | Functional Genomic Complexity Defines Intratumor Heterogeneity and Tumor Aggressiveness in Liver Cancer | 권소미, 우현구 |
| 2017 | | Genetic variants of the gasdermin B gene associated with the development of aspirin-exacerbated respiratory diseases | 박해심 |
| 2013 | | Genome-wide bimolecular fluorescence complementation analysis of SUMO interactome in yeast. | 이기영 |
| 2020 | | i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome | Balachandran, Manavalan |
| 2020 | | i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation | Balachandran, Manavalan |
| 2021 | | Integrative machine learning framework for the identification of cell-specific enhancers from the human genome | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2012 | | Interferon regulatory factor 7 regulates glioma stem cells via interleukin-6 and Notch signalling | 김세혁 |
| 2018 | | Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy | Balachandran, Manavalan, 신태환, 이광 |
| 2010 | | Mapping plant interactomes using literature curated and predicted protein-protein interaction data sets. | 이기영 |
| 2021 | | Meta-i6mA: An interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2021 | | NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning | Balachandran, Manavalan |
| 2018 | | Nonsynonymous Variants in PAX4 and GLP1R Are Associated With Type 2 Diabetes in an East Asian Population | 조남한 |
| 2021 | | Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects | 김한태, 장정훈, 정연훈 |
| 2019 | | Prediction of S-nitrosylation sites by integrating support vector machines and random forest | Balachandran, Manavalan |
| 2022 | | Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites | Basith, Shaherin, 이광, 장혜진 |
| 2019 | | Secretome analysis of patient-derived GBM tumor spheres identifies midkine as a potent therapeutic target | 이진구 |
| 2021 | | StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides | Balachandran, Manavalan |
| 2022 | | STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2022 | | THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites | Basith, Shaherin, 이광 |
| 2021 | | Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learning | Balachandran, Manavalan |
