Παρακολούθηση
Aanchal Mongia
Aanchal Mongia
University of Pennsylvania
Μη επαληθευμένη διεύθυνση ηλ. ταχυδρομείου - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data
D Talwar, A Mongia, D Sengupta, A Majumdar
Scientific reports 8 (1), 16329, 2018
1652018
McImpute: matrix completion based imputation for single cell RNA-seq data
A Mongia, D Sengupta
Frontiers in genetics 10, 418536, 2019
782019
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
572022
Deep latent factor model for collaborative filtering
A Mongia, N Jhamb, E Chouzenoux, A Majumdar
Signal Processing 169, 107366, 2020
502020
Drug-target interaction prediction using multi graph regularized nuclear norm minimization
A Mongia, A Majumdar
Plos one 15 (1), e0226484, 2020
392020
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
332021
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
262021
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
232020
Matrix completion on multiple graphs: Application in collaborative filtering
A Mongia, A Majumdar
Signal Processing 165, 144-148, 2019
132019
Matrix completion on learnt graphs: Application to collaborative filtering
A Mongia, A Majumdar
Expert Systems with Applications 185, 115652, 2021
112021
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
92022
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
92019
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
82022
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
82020
Detecting activities at metro stations using smartphone sensors
A Mongia, VMV Gunturi, V Naik
2018 10th International Conference on Communication Systems & Networks …, 2018
82018
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
72020
Drug-target interaction prediction using multi-graph regularized deep matrix factorization
A Mongia, A Majumdar
BioRxiv, 774539, 2019
72019
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
52023
McImpute: matrix completion based imputation for single cell RNA-seq data. Front Genet. 2019; 10: 9
A Mongia, D Sengupta, A Majumdar
32019
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