I am a doctoral researcher within the Biomedical Informatics group led by Vittorio Fortino at the Institute of Biomedicine. My current research focusses on using network biology and machine learning towards improving drug efficacy and safety. I am also a part of the in silico work package of the EDCMET project where I support towards development of tools for understanding the mechanism of actions of endocrine disrupting chemicals (EDCs).
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Network analysis of transcriptomic data uncovers molecular signatures and the interplay of mRNAs, lncRNAs, and miRNAs in human embryonic stem cells
Ghosh, Arindam; Som, Anup. 2024. Differentiation. 135: . 100738 -
EDTox: an R Shiny application to predict the endocrine disruption potential of compounds
Sakhteman, Amirhossein; Ghosh, Arindam; Fortino, Vittorio. 2022. Bioinformatics. 38: 2066-2069 -
Network approaches for modeling the effect of drugs and diseases
Rintala, TJ; Ghosh, Arindam; Fortino, V. 2022. Briefings in bioinformatics. 23: