Autophagy maintains HEV identity and function during inflammation. Kathryn A Jacobs, Yichao Hua, Apostolis Panagiotis Nikolakopoulos, Swati Gupta, Gerlanda Vella, Ana Filipa Domingues Laranjeiro, Julie Bonnereau, Mélanie Guyot, Larissa Mourao, Feyza Cansiz, Gabriele Allies, Nicolas Van Baren, Sophie Lucas, Wiebke Sondermann, Florian Rambow, Alpaslan Tasdogan, Colinda Scheele, Patrizia Agostinis, Gabriele Bergers. (2026) article Immunity
Swati Gupta, & Debnath Pal. Detection of intrinsic transcription termination sites in bacteria: consensus from hairpin detection approaches. Journal of Biomolecular Structure and Dynamics (2024). 1-11 article
Swati Gupta, Namrata Padmashali, & Debnath Pal. INTERPIN: a repository for intrinsic transcription termination hairpins in bacteria. Biochimie (2023 Jul 26) :S0300-9084(23)00179-7. article
Swati Gupta, Debnath Pal. Clusters of hairpins induce intrinsic transcription termination in bacteria. Scientific Reports (2021), 11(1), 1-18. article
Nupur Jauhari, Swati Gupta, Supriya Saxena, Navneeta Bharadvaja, "Computational Studies of Synthetic and Plant-Derived Compounds against Cardoivascular Disease Targets", International Journal of Pharmaceutical Sciences and Drug Research (2016) 8(3), 144-148.
Swati Gupta, "Wet and Dry Washing Purification Method for Biodiesel", Conference paper- International Conference of Advance Research and Innovation (ICARI-2014), ISBN 978-93-5156-328-0.
Navchetan Awasthi, Rohit Pardasani, Swati Gupta (2021). Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. In: Crimi, A., Bakas, S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Lecture Notes in Computer Science(), vol 12659. Springer, Cham. DOI
Max A Kowalchuk , Swati Gupta , Navchetan Awasthi (2024). Applying Pre-Trained Deep Learning Models for Multi-Label Classification of Realistic and Noisy Electrocardiogram Images. Computing in Cardiology 2024; Vol 51. DOI
Swati Gupta, and Debnath Pal (2024). "Utilizing RNA-seq Data to Infer Bacterial Transcription Termination Sites and Validate Predictions." Transcriptome Data Analysis. New York, NY: Springer US, 2024. 345-365.
Swati Gupta*, Navchetan Awasthi*, Amritanjali Kiran, & Rohit Pardasani (2021). State-of-the-art equipment for rapid and accurate diagnosis of COVID-19. In Biomedical Engineering Tools for Management for Patients with COVID-19 (pp. 19-40). Academic Press.