College of Biotechnology and Bioengineering - College of Biotechnology and Bioengineering

  • Associate Professor Computational Biology
  • BALACHANDRAN, MANAVALAN
    Lab Computational Biology and Bioinformatics

Research Interest

Bioinformatics,
Data Mining,
Machine Learning

Education

  • 2003 Bachelor of Science in Biochemistry (B.S.), University of Madras
  • 2006 Master of Science in Bioinformatics (M.S.), University of Madras
  • 2011 Doctorate in Computational Biology (Ph.D.), Ajou University

Experience

  • November 2011 ~ February 2017: Research fellow, Korea Institute for Advanced Study
  • March 2017 ~ February 2022: Research Assistant Professor, Ajou University School of Medicine
  • Feb 21, 2022 ~ Present: Assistant Professor, Dept of Integrative Biotechnology, Sungkyunkwan University

Journal Articles

  • (2025)  Cost-sensitive feature selection for multi-label classification: multi-criteria decision-making approach.  Emerald Publishing Limited.  1,  13
  • (2025)  Decision making based ensemble feature selection approach through a new score function in q-rung orthopair hesitant fuzzy environment.  MATHEMATICS AND COMPUTERS IN SIMULATION.  1,  2
  • (2024)  SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features.  INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES.  133085,  133095
  • (2024)  ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning.  MOLECULAR THERAPY NUCLEIC ACIDS.  1
  • (2024)  H2Opred: a robust and efficient hybrid deep learning model for predicting 2’-O-methylation sites in human RNA.  BRIEFINGS IN BIOINFORMATICS.  1,  25
  • (2024)  Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analyses.  COMPUTERS IN BIOLOGY AND MEDICINE.  168,  107688
  • (2023)  Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach.  COMPUTERS IN BIOLOGY AND MEDICINE.  169,  1
  • (2023)  Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach.  BRIEFINGS IN BIOINFORMATICS.  25,  1
  • (2023)  RDR100: A Robust Computational Method for Identification of Krüppellike Factors.  CURRENT BIOINFORMATICS.  1,  25
  • (2023)  ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information.  COMPUTERS IN BIOLOGY AND MEDICINE.  165,  1
  • (2023)  Protection of c-Fos from autophagic degradation by PRMT1-mediated methylation fosters gastric tumorigenesis.  INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES.  19,  12
  • (2023)  Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition.  EXPERT SYSTEMS WITH APPLICATIONS.  230, 
  • (2023)  Identification of SH2 domain-containing proteins and motifs prediction by a deep learning method.  COMPUTERS IN BIOLOGY AND MEDICINE.  162, 
  • (2023)  Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators.  APPLIED SOFT COMPUTING.  143, 
  • (2023)  VirPipe: an easy-to-use and customizable pipeline for detecting viral genomes from Nanopore sequencing.  BIOINFORMATICS.  39,  5
  • (2023)  DrugormerDTI: Drug Graphormer for drug-target interaction prediction.  COMPUTERS IN BIOLOGY AND MEDICINE.  161,  1
  • (2023)  A comprehensive revisit of the machine-learning tools developed for the identification of enhancers in the human genome.  PROTEOMICS.  23,  13-14
  • (2023)  Pretoria: An effective computational approach for accurate and high-throughput identification of CD8+t-cell epitopes of eukaryotic pathogens.  INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES.  238, 
  • (2023)  How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA?.  MOLECULAR THERAPY-NUCLEIC ACIDS.  31,  1
  • (2023)  PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning.  COMPUTERS IN BIOLOGY AND MEDICINE.  158,