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Chittibabu Guda

35PUBLICATIONS
41CO-AUTHORS
Molecular targetsFormal methods for softwareEpigenetics (incl. genome methylation and epigenomics)Sequence analysisDeep learning
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Journal

Publications (35)

Sort by Publication Date:
|Jun 19, 2026
Machine learning-driven QSAR modeling combined with single cell transcriptomics identifies novel drug targets for lung cancer.

|Feb 05, 2026
VST-DAVis: an R Shiny application and web-browser for spatial transcriptomics data analysis and visualization.

Sankarasubramanian Jagadesan, Chittibabu Guda

|Dec 08, 2025
scAED: a framework for mapping the enhancer state at single-cell resolution.

Avinash Veerappa, Jai Chand Patel, Sushil Shakyawar

|Nov 13, 2025
ScRDAVis: An R shiny application for single-cell transcriptome data analysis and visualization.

Sankarasubramanian Jagadesan, Chittibabu Guda

|Jun 11, 2025
GAIN-BRCA: a graph-based AI-net framework for breast cancer subtype classification using multiomics data.

Jai Chand Patel, Sushil Kumar Shakyawar, Sahil Sethi

|May 14, 2025
Identification of Potential Prophylactic Medical Countermeasures Against Acute Radiation Syndrome (ARS).

Kia T Liermann-Wooldrik, Arpita Chatterjee, Elizabeth A Kosmacek

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Frequent Collaborators

6 joint publications

Sankarasubramanian Jagadesan

6 joint publications

Sowmya V Yelamanchili

5 joint publications

Victoria Schaal

5 joint publications

Gurudutt Pendyala

3 joint publications

Siddesh Southekal

3 joint publications

Nghi M Nguyen

2 joint publications

Vikas Kumar

2 joint publications

Lie Gao

2 joint publications

Katherine E Odegaard

2 joint publications

Nitish Kumar Mishra

Frequent Collaborators

6 joint publications

Sankarasubramanian Jagadesan

6 joint publications

Sowmya V Yelamanchili

5 joint publications

Victoria Schaal

5 joint publications

Gurudutt Pendyala