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IEEE/ACM Transactions on Computational Biology and Bioinformatics
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September 11, 2015
Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach
Anirban Mukhopadhyay, Monalisa Mandal
IEEE Journal of Biomedical and Health Informatics
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April 27, 2026
GAN-GA: A Deep-Evolutionary Approach for Synthesizing Functionally Similar Heat Shock Proteins
Anamika Das, Monalisa Mandal
Plos One
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March 15, 2014
A graph-theoretic approach for identifying non-redundant and relevant gene markers from microarray data using multiobjective binary PSO
Monalisa Mandal, Anirban Mukhopadhyay
Computational Biology and Chemistry
|
July 12, 2025
Integrating machine learning and statistical methods for prediction and feature-based network characterization of stress response protein
Anamika Das, Monalisa Mandal
Medical & Biological Engineering & Computing
|
January 8, 2015
Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou's PseAAC
Monalisa Mandal, Anirban Mukhopadhyay, Ujjwal Maulik
IEEE Transactions on Nanobioscience
|
May 3, 2015
A PSO-Based Approach for Pathway Marker Identification From Gene Expression Data
Monalisa Mandal, Jyotirmay Mondal, Anirban Mukhopadhyay
BMC Bioinformatics
|
December 29, 2020
In silico ranking of phenolics for therapeutic effectiveness on cancer stem cells
Monalisa Mandal, Sanjeeb Kumar Sahoo, Priyadarsan Patra, et al.
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Search research articles
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Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 1
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
September 11, 2015
Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach
Anirban Mukhopadhyay, Monalisa Mandal
IEEE Journal of Biomedical and Health Informatics
|
April 27, 2026
GAN-GA: A Deep-Evolutionary Approach for Synthesizing Functionally Similar Heat Shock Proteins
Anamika Das, Monalisa Mandal
Plos One
|
March 15, 2014
A graph-theoretic approach for identifying non-redundant and relevant gene markers from microarray data using multiobjective binary PSO
Monalisa Mandal, Anirban Mukhopadhyay
Computational Biology and Chemistry
|
July 12, 2025
Integrating machine learning and statistical methods for prediction and feature-based network characterization of stress response protein
Anamika Das, Monalisa Mandal
Medical & Biological Engineering & Computing
|
January 8, 2015
Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou's PseAAC
Monalisa Mandal, Anirban Mukhopadhyay, Ujjwal Maulik
IEEE Transactions on Nanobioscience
|
May 3, 2015
A PSO-Based Approach for Pathway Marker Identification From Gene Expression Data
Monalisa Mandal, Jyotirmay Mondal, Anirban Mukhopadhyay
BMC Bioinformatics
|
December 29, 2020
In silico ranking of phenolics for therapeutic effectiveness on cancer stem cells
Monalisa Mandal, Sanjeeb Kumar Sahoo, Priyadarsan Patra, et al.
Page
of 1