Sumanta Ray
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Explore the profile of Sumanta Ray including associated specialties, affiliations and a list of published articles.
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32
Citations
278
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Recent Articles
1.
Alberuni S, Ray S
PLoS One
. 2024 Dec;
19(12):e0305503.
PMID: 39666631
Proteins associated with multiple diseases often interact, forming disease modules that are critical for understanding disease mechanisms. This study integrates protein-protein interactions (PPIs) and Gene Ontology data using non-negative matrix...
2.
Lall S, Ray S, Bandyopadhyay S
IEEE/ACM Trans Comput Biol Bioinform
. 2024 Nov;
PP.
PMID: 39504287
Single cell RNA sequencing (scRNA-seq) is a powerful tool to capture gene expression snapshots in individual cells. However, a low amount of RNA in the individual cells results in dropout...
3.
Ray S, Lall S, Mukhopadhyay A, Bandyopadhyay S, Schonhuth A
Artif Intell Med
. 2022 Dec;
134:102418.
PMID: 36462892
The COVID-19 pandemic has been keeping asking urgent questions with respect to therapeutic options. Existing drugs that can be repurposed promise rapid implementation in practice because of their prior approval....
4.
Ray S, Desai M, Pyne S
Comput Biol Med
. 2022 Oct;
151(Pt A):106175.
PMID: 36306577
Objectives: To identify patterns of association and transition in polysubstance use based on National Survey of Drug Use and Health (NSDUH) in the United States. Methods: We developed a new...
5.
Lall S, Ray S, Bandyopadhyay S
Commun Biol
. 2022 Jun;
5(1):577.
PMID: 35688990
A fundamental problem of downstream analysis of scRNA-seq data is the unavailability of enough cell samples compare to the feature size. This is mostly due to the budgetary constraint of...
6.
Upadhyay P, Ray S
Front Genet
. 2022 May;
13:788832.
PMID: 35495159
Cell type prediction is one of the most challenging goals in single-cell RNA sequencing (scRNA-seq) data. Existing methods use unsupervised learning to identify signature genes in each cluster, followed by...
7.
Lall S, Ray S, Bandyopadhyay S
PLoS Comput Biol
. 2022 Mar;
18(3):e1009600.
PMID: 35271564
Annotation of cells in single-cell clustering requires a homogeneous grouping of cell populations. There are various issues in single cell sequencing that effect homogeneous grouping (clustering) of cells, such as...
8.
Lall S, Ghosh A, Ray S, Bandyopadhyay S
Brief Bioinform
. 2022 Jan;
23(2).
PMID: 35037023
Annotation of cells in single-cell clustering requires a homogeneous grouping of cell populations. Since single-cell data are susceptible to technical noise, the quality of genes selected prior to clustering is...
9.
Hossain S, Khatun L, Ray S, Mukhopadhyay A
Sci Rep
. 2021 Dec;
11(1):24252.
PMID: 34930937
Classifying pan-cancer samples using gene expression patterns is a crucial challenge for the accurate diagnosis and treatment of cancer patients. Machine learning algorithms have been considered proven tools to perform...
10.
Lall S, Ray S, Bandyopadhyay S
PLoS Comput Biol
. 2021 Oct;
17(10):e1009464.
PMID: 34665808
Gene selection in unannotated large single cell RNA sequencing (scRNA-seq) data is important and crucial step in the preliminary step of downstream analysis. The existing approaches are primarily based on...