Author

Debasree Sarkar

Emory UniversityORCID 0000-0002-3228-9131Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Antonio LobaoiD· 1 shared Antonios Kafanas· 1 shared Aristidis VevesiD· 1 shared Beena E. ThomasiD· 1 shared Bhakti DwivediiD· 1 shared Biraja C. DashiD· 1 shared Georgios TheocharidisiD· 1 shared Henry C. HsiaiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Antonio LobaoORCID

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2 papers

Recent·Most cited

Predictive Analysis of Methylation Patterns in Oral Squamous Cell Carcinoma (OSCC) Using Machine Learning

Debasree Sarkar

The paper develops a machine learning model to predict methylation signatures distinguishing OSCC from normal tissue, achieving high accuracy on validation datasets.

The Open Bioinformatics Journal · Oct 7, 2025Peer-reviewedBioinformatics

Single Cell Transcriptomic Landscape of Diabetic Foot Ulcers

Georgios Theocharidis, Beena E. Thomas, Debasree Sarkar, Hope Mumme, William Pilcher, Bhakti Dwivedi, Teresa Sandoval-Schaefer, Ruxandra F. Sîrbulescu, Antonios Kafanas, Ikram Mezghani, Peng Wang, Antonio Lobao, Ioannis S. Vlachos, Biraja C. Dash, Henry C. Hsia, , Manoj Bhasin

The paper profiles single-cell RNA sequencing data from diabetic foot ulcers to identify cell types and gene expression patterns associated with wound healing.

Nature Communications · Jan 10, 2022Peer-reviewedGenomics