Search research articles
Contact Us
Filters
Showing results (1-10 of 13) with videos related to
Page
of 2
Sort By:
Plos One
|
January 17, 2020
Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization
Aanchal Mongia, Angshul Majumdar
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 29, 2019
deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data
Aanchal Mongia, Debarka Sengupta, Angshul Majumdar
Frontiers in Genetics
|
February 15, 2019
McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
Aanchal Mongia, Debarka Sengupta, Angshul Majumdar
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 11, 2022
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion
Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
April 8, 2022
DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning-Application to COVID-19
Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, et al.
Scientific Reports
|
November 7, 2018
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data
Divyanshu Talwar, Aanchal Mongia, Debarka Sengupta, et al.
Scientific Reports
|
April 28, 2021
A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials
Aanchal Mongia, Sanjay Kr Saha, Emilie Chouzenoux, et al.
NAR Genomics and Bioinformatics
|
February 12, 2021
FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles
Rachesh Sharma, Neetesh Pandey, Aanchal Mongia, et al.
Nucleic Acids Research
|
October 19, 2022
CREAMMIST: an integrative probabilistic database for cancer drug response prediction
Hatairat Yingtaweesittikul, Jiaxi Wu, Aanchal Mongia, et al.
Genome Medicine
|
December 17, 2021
Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
Chayaporn Suphavilai, Shumei Chia, Ankur Sharma, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Plos One
|
January 17, 2020
Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization
Aanchal Mongia, Angshul Majumdar
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 29, 2019
deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data
Aanchal Mongia, Debarka Sengupta, Angshul Majumdar
Frontiers in Genetics
|
February 15, 2019
McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
Aanchal Mongia, Debarka Sengupta, Angshul Majumdar
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 11, 2022
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion
Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
April 8, 2022
DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning-Application to COVID-19
Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, et al.
Scientific Reports
|
November 7, 2018
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data
Divyanshu Talwar, Aanchal Mongia, Debarka Sengupta, et al.
Scientific Reports
|
April 28, 2021
A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials
Aanchal Mongia, Sanjay Kr Saha, Emilie Chouzenoux, et al.
NAR Genomics and Bioinformatics
|
February 12, 2021
FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles
Rachesh Sharma, Neetesh Pandey, Aanchal Mongia, et al.
Nucleic Acids Research
|
October 19, 2022
CREAMMIST: an integrative probabilistic database for cancer drug response prediction
Hatairat Yingtaweesittikul, Jiaxi Wu, Aanchal Mongia, et al.
Genome Medicine
|
December 17, 2021
Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
Chayaporn Suphavilai, Shumei Chia, Ankur Sharma, et al.
Page
of 2