Faculty Details

Dr. Monalisa Mandal

Assistant Professor, School of Computer Science
MCA, PhD., Post-Doc
Home Page:https://sites.google.com/site/monalisamandal35783/

Teaching Interests

Data Structure, Web design, Operating System, AI, Data Mining, Soft Computing, Bioinformatics

Research Interests

Computational Biology, Pattern Recognition, Data Mining, Deep Learning

Research & Publications


2017, JOURNAL: “Multiobjective PSO-based Rank Aggregation: Application in Gene Ranking from Microarray Data, Elsevier,Link

2015, JOURNAL: A Comparative Study Among Various Statistical Tests Using Microarray Gene Expression Data, Bentham Science,Link

2015, JOURNAL: Prediction of Protein Subcellular Localization by Incorporating Multiobjective PSO-based Feature Subset Selection into the General form of Chou’s PseAAC, Springer Berlin Heidelberg,Link

2015, JOURNAL: A PSO-based Approach for Pathway MarkerIdentificationfromGene-ExpressionData, IEEE,Link

2014, JOURNAL: A Graph-Theoretic Approach for Identifying Nonredundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO, PLOS (Public Library of Science) ,Link

2014, JOURNAL: Identifying Non-redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-based Approach, IEEE, USA,Link

2014, JOURNAL: A Novel PSO-based Graph-Theoretic Approach for Identifying Most Relevant and Non-redundant Gene Markers from Gene Expression Data, Taylor & Francis,Link