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Monica Jha

Observed name: Jha, Monica
ORCID: 0000-0001-6960-9162
Observed ORCID: 0000-0001-6960-9162
OpenAlex ID: A5044237733
Document Clustering using K-Means and K-Medoids
2015 · Balabantaray, Rakesh Chandra, Sarma, Chandrali, et al. · arXiv (Cornell University) · 63
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Qualitative assessment of functional module detectors on microarray and RNASeq data
2019 · Monica Jha, Pietro. H. Guzzi, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 18
Prioritizing disease biomarkers using functional module based network analysis: A multilayer consensus driven scheme
2020 · Monica Jha, Swarup Roy, et al. · Computers in Biology and Medicine · 14
Document Clustering using K-Medoids
2015 · Jha, Monica · arXiv (Cornell University) · 7
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Soft Computing Approaches to Extract Biologically Significant Gene Network Modules
2018 · Swarup Roy, Hazel Nicolette Manners, et al. · Springer eBooks · 5
Computational Methods for Detecting Functional Modules from Gene Regulatory Network
2016 · Hazel Nicolette Manners, Monica Jha, et al. · International Conference on Information and Communication Technology for Competitive Strategies (ICTCS) · 4
Functional module extraction by ensembling the ensembles of selective module detectors
2019 · Swarup Roy, Pierangelo Veltri, et al. · International Journal of Computational Biology and Drug Design · 3
Performance Appraisal of 6LoWPAN and OpenFlow in SDN Enabled Edge-Based IoT Network
2021 · Rohit Kumar Das, Monica Jha, et al. · Advances in intelligent systems and computing · 2
Functional module extraction from gene expression data using data mining techniques
2020 · Monica Jha, Swarup Roy · ACM SIGBioinformatics Record · 1
Extracting Functional Modules from RNASeq Counts Using Ensemble of Clustering Based Module Detection Methods
2018 · Monica Jha, Swarup Roy · Journal of Computational and Theoretical Nanoscience · 1
Network based algorithms for module extraction from RNASeq data: A quantitative assessment
2017 · Monica Jha, Pierangelo Veltri, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Works count: 11
Citation count: 118
H-index: 5
I10-index: 3
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