AutoImpute: Autoencoder based imputation of single-cell RNA-seq data D Talwar, A Mongia, D Sengupta, A Majumdar Scientific reports 8 (1), 16329, 2018 | 165 | 2018 |
McImpute: matrix completion based imputation for single cell RNA-seq data A Mongia, D Sengupta Frontiers in genetics 10, 418536, 2019 | 78 | 2019 |
Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes M Fasolino, GW Schwartz, AR Patil, A Mongia, ML Golson, YJ Wang, ... Nature metabolism 4 (2), 284-299, 2022 | 57 | 2022 |
Deep latent factor model for collaborative filtering A Mongia, N Jhamb, E Chouzenoux, A Majumdar Signal Processing 169, 107366, 2020 | 50 | 2020 |
Drug-target interaction prediction using multi graph regularized nuclear norm minimization A Mongia, A Majumdar Plos one 15 (1), e0226484, 2020 | 39 | 2020 |
A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials A Mongia, SK Saha, E Chouzenoux, A Majumdar Scientific reports 11 (1), 9047, 2021 | 33 | 2021 |
Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures C Suphavilai, S Chia, A Sharma, L Tu, RP Da Silva, A Mongia, ... Genome Medicine 13, 1-14, 2021 | 26 | 2021 |
deepMc: deep matrix completion for imputation of single-cell RNA-seq data A Mongia, D Sengupta, A Majumdar Journal of Computational Biology 27 (7), 1011-1019, 2020 | 23 | 2020 |
Matrix completion on multiple graphs: Application in collaborative filtering A Mongia, A Majumdar Signal Processing 165, 144-148, 2019 | 13 | 2019 |
Matrix completion on learnt graphs: Application to collaborative filtering A Mongia, A Majumdar Expert Systems with Applications 185, 115652, 2021 | 11 | 2021 |
Computational prediction of drug-disease association based on graph-regularized one bit matrix completion A Mongia, E Chouzenoux, A Majumdar IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2022 | 9 | 2022 |
Deep latent factor model for predicting drug target interactions A Mongia, V Jain, E Chouzenoux, A Majumdar ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 9 | 2019 |
Deepvir: Graphical deep matrix factorization for in silico antiviral repositioning—application to covid-19 A Mongia, S Jain, E Chouzenoux, A Majumdar Journal of Computational Biology 29 (5), 441-452, 2022 | 8 | 2022 |
Deep matrix completion on graphs: Application in drug target interaction prediction A Mongia, A Majumdar ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
Detecting activities at metro stations using smartphone sensors A Mongia, VMV Gunturi, V Naik 2018 10th International Conference on Communication Systems & Networks …, 2018 | 8 | 2018 |
Consortium M Fasolino, GW Schwartz, AR Patil, A Mongia, ML Golson, YJ Wang, ... H., Faryabi, RB, Naji, A., Kaestner, KH, Vahedi, G.: Single-cell multi-omics …, 2020 | 7 | 2020 |
Drug-target interaction prediction using multi-graph regularized deep matrix factorization A Mongia, A Majumdar BioRxiv, 774539, 2019 | 7 | 2019 |
AutoImpute: autoencoder based imputation of single-cell RNA-seq data. Sci Rep. 2018; 8 (1): 16329 D Talwar, A Mongia, D Sengupta, A Majumdar Epub 2018/11/07. https://doi. org/10.1038/s41598-018-34688-x PMID: 30397240, 0 | 6 | |
CREAMMIST: an integrative probabilistic database for cancer drug response prediction H Yingtaweesittikul, J Wu, A Mongia, R Peres, K Ko, N Nagarajan, ... Nucleic Acids Research 51 (D1), D1242-D1248, 2023 | 5 | 2023 |
McImpute: matrix completion based imputation for single cell RNA-seq data. Front Genet. 2019; 10: 9 A Mongia, D Sengupta, A Majumdar | 3 | 2019 |