• Das, D., Bhattacharyya, S., Bhattacharyya, M., Sashankar, P., Ghosh, A. and Mandal, P., 2022. Transcriptome analysis of mulberry (Morus alba L.) leaves to identify differentially expressed genes associated with post-harvest shelf-life elongation. Scientific reports, 12(1), pp.1-27.
  • Rintala, T.J., Ghosh, A. and Fortino, V., 2022. Network approaches for modeling the effect of drugs and diseases. Briefings in Bioinformatics, 23(4): p.bbac229.
  • Sakhteman, A., Ghosh, A., and Fortino, V., 2022. EDTox: an R Shiny application to predict the endocrine disruption potential of compounds. Bioinformatics (2022): btac045.
  • Ghosh, A. and Som, A., 2022. Deciphering the mRNA-lncRNA-miRNA interaction landscape in human pluripotency. bioRxiv.
  • Ghosh, A., and Som, A., 2022. Transcriptomic Analysis of Human Naïve and Primed Pluripotent Stem Cells. In Human Naïve Pluripotent Stem Cells (pp. 213-237). Humana, New York, NY. [Book Chapter]
  • Ghosh, A., and Som, A., 2021. Decoding molecular markers and transcriptional circuitry of naive and primed states of human pluripotency. Stem Cell Research (2021): 102334.
  • Ghosh, A., and Som, A., 2020. RNA-Seq analysis reveals pluripotency-associated genes and their interaction networks in human embryonic stem cells. Computational Biology and Chemistry, 85 : 107239.
  • Som, A., Kumari, P. and Ghosh, A., 2019. Advancing India’s bioinformatics education and research: an assessment and outlook. Journal of Proteins and Proteomics, 10(3): 257-267.