Preetam Ghosh

Professor

Virginia Commonwealth University

United States

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Preetam Ghosh is a Professor at Virginia Commonwealth University in the United States. His research interests encompass network and modeling analysis, data-driven approaches for reliability, and multiomics data clustering, with a specific focus on breast cancer and pandemic management. His recent publications include studies on signal regulation in cancer, infection profiling, and adaptive routing in post-disaster scenarios.

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Collaborators (3)

Pratip Rana

Assistant Professor

Old Dominion University

UNITED STATES

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David Cohen

Assistant Professor

Virginia Commonwealth University

UNITED STATES

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Vasily Yakovlev

Assistant Professor

UNITED STATES

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Preetam Ghosh

Research Interests

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About

Articles (20)

GramSeq-DTA: A Grammar-Based Drug–Target Affinity Prediction Approach Fusing Gene Expression Information

Heterogeneous Clustering of Multiomics Data for Breast Cancer Subgroup Classification and Detection

Network and modeling analysis of MAPK signaling cascade uncovers EGR1 regulation through ERK2 protein in breast cancer

Advancing infection profiling under data uncertainty through contagion potential

Bone Marrow Stromal Cells Generate a Pro-Healing Inflammasome When Cultured on Titanium–Aluminum–Vanadium Surfaces with Microscale/Nanoscale Structural Features

A Review of Link Prediction Applications in Network Biology

Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions

Neuron enriched extracellular vesicles’ MicroRNA expression profiles as a marker of early life alcohol consumption

ADRIN2.0: Enabling Post-Disaster Communication Through Adaptive Mobility-Informed Routing

A Survey on Data-Driven Approaches for Reliability, Robustness, and Energy Efficiency in Wireless Body Area Networks

Determining the rate of infectious disease testing through contagion potential

Multimodal Classification: Current Landscape, Taxonomy and Future Directions

Inferring links in directed complex networks through feed forward loop motifs

Multimodal Deep Learning Methods on Image and Textual Data to Predict Radiotherapy Structure Names

A Taxonomic Survey of Physics-Informed Machine Learning

Curbing Pandemic Through Evolutionary Algorithm-Based Priority Aware Mobility Scheduling

Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications

Hierarchical Vaccine Allocation based on Epidemiological and Behavioral Considerations

Transcriptome Profiling of Cardiac Glycoside Treatment Reveals EGR1 and Downstream Proteins of MAPK/ERK Signaling Pathway in Human Breast Cancer Cells

MCR: A Motif Centrality-Based Distributed Message Routing for Disaster Area Networks

Collaborators (3)

Pratip Rana

David Cohen

Vasily Yakovlev

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