Author

Suneetha Yeguvapalli

University of HoustonORCID 0000-0002-3035-7196Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Approach:machine learning (classical)· 1

Frequent Co-Authors

Kumaraswamy Naidu ChitralaiD· 2 shared Aaisha Singh· 1 shared Hailey McAndrew· 1 shared Jessica Rigler· 1 shared Karl D. BriegeliD· 1 shared Tajah Huerta-White· 1 shared Tyler Kwok· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Kumaraswamy Naidu ChitralaORCID

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2 papers

Recent·Most cited

Bioinformatics analysis of the potential biomarkers of Multiple Sclerosis and Guillain-Barre syndrome

Tyler Kwok, Tajah Huerta-White, Karl D. Briegel, Aaisha Singh, Suneetha Yeguvapalli, Kumaraswamy Naidu Chitrala

This study identifies shared gene expression patterns and potential therapeutic compounds between Multiple Sclerosis and Guillain-Barre Syndrome through bioinformatics analysis.

bioRxiv · May 29, 2024 · PreprintBioinformatics

Analysis of gene expression profiles to elucidate racial differences in African American and White patients with Triple-negative breast cancer

Hailey McAndrew, Jessica Rigler, Suneetha Yeguvapalli, Kumaraswamy Naidu Chitrala

The paper analyzes gene expression differences between African American and White TNBC patients to identify potential biomarkers and therapeutic targets.

bioRxiv · May 29, 2024 · PreprintBioinformatics