Publications

2021

1. Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data

   Gupta, Krishan, Lalit, Manan, Biswas, Aditya, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Ahuja, Gaurav, Ghosh, Abhik, and Sengupta, Debarka

   Genome Research 2021
2. Machine-OlF-Action: A unified framework for developing and interpreting machine-learning models for chemosensory research

   Gupta, Anku, Choudhary, Mohit, Mohanty, Sanjay Kumar, Mittal, Aayushi, Gupta, Krishan, Arya, Aditya, Kumar, Suvendu, Katyayan, Nikhil, Dixit, Nilesh Kumar, Kalra, Siddhant and others

   Bioinformatics 2021
3. Ultrasound placental image texture analysis using artificial intelligence to predict hypertension in pregnancy

   Gupta, Krishan, Balyan, Kirti, Lamba, Bhumika, Puri, Manju, Sengupta, Debarka, and Kumar, Manisha

   The Journal of Maternal-Fetal & Neonatal Medicine (IJMF) 2021
4. OdoriFy: A conglomerate of Artificial Intelligence-driven prediction engines for olfactory decoding

   Gupta, Ria, Mittal, Aayushi, Agrawal, Vishesh, Gupta, Sushant, Gupta, Krishan , Jain, Rishi Raj, Garg, Prakriti, Mohanty, Sanjay Kumar, Sogani, Riya, Chhabra, Harshit Singh, Gautam, Vishakha, Mishra, Tripti , Sengupta, Debarka and Ahuja, Gaurav

   Journal of Biological Chemistry 2021
5. EcTracker: Tracking and elucidating ectopic expression leveraging large-scale scRNA-seq studies

   Gautam, Vishakha, Mittal, Aayushi, Kalra, Siddhant, Mohanty, Sanjay Kumar, Gupta, Krishan, Rani, Komal, Naidu, Srivatsava, Mishra, Tripti, Sengupta, Debarka, and Ahuja, Gaurav

   Briefings in Bioinformatics 2021
6. Quantification of age-related decline in transcriptional homeostasis

   Gupta, Krishan, Yadav, Princey, Maryam, Sidrah, Ahuja, Gaurav and Sengupta, Debarka

   Accepted in Journal of Molecular Biology 2021

2020

1. The Cellular basis of loss of smell in 2019-nCoV-infected individuals

   Gupta, Krishan, Mohanty, Sanjay Kumar, Mittal, Aayushi, Kalra, Siddhant, Kumar, Suvendu, Mishra, Tripti, Ahuja, Jatin, and Ahuja, Gaurav

   Briefings in Bioinformatics 2020
2. Integrative analysis and machine learning based characterization of single circulating tumor cells

   Iyer, Arvind, Gupta, Krishan, Sharma, Shreya, Hari, Kishore, Lee, Yi Fang, Ramalingam, Neevan, Yap, Yoon West, Jay, Bhagat, Ali Asgar, Subramani, Balaram Vishnu, Sabuwala, Burhanuddin Sabuwala, Tan, Tuan Zea, Thiery, Jean Paul, Jolly, Mohit Kumar, Ramalingam, Naveen and Sengupta, Debarka

   Journal of clinical medicine 2020
3. Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis

   Kalra, Siddhant, Mittal, Aayushi, Gupta, Krishan, Singhal, Vrinda, Gupta, Anku, Mishra, Tripti, Naidu, Sengupta, Debarka, and Ahuja, Gaurav

   Communications biology 2020

2018

1. Texture Classification Using Deep Convolutional Neural Network with Ensemble Learning

   Gupta, Krishan, Jain, Tushar, and Sengupta, Debarka

   In International Conference on Mining Intelligence and Knowledge Exploration 2018