Author

Robel Kahsay

George Washington University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 4

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 4 Approach:statistical model· 4 Approach:benchmark study· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Raja MazumderiD· 4 shared Darren A. NataleiD· 2 shared Jeet Kiran VoraiD· 2 shared Michael TiemeyeriD· 2 shared Amanda L. BelliD· 1 shared Ashia Joseph· 1 shared Ashish Mahabal· 1 shared Avi Ma’ayaniD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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4 shared papersBioinformatics

Raja MazumderORCID

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4 papers

Recent·Most cited

BiomarkerKB: An Integrated Knowledgebase Supporting Biomarker-Centric Exploration of Biomedical Data

Daniall Masood, Mariia Kim, Jeet Kiran Vora, Robel Kahsay, Patrick M. McNeely, Sean Kim, Cyrus Chun Hong Au Yeung, Sujeet Kulkarni, Darren A. Natale, Srinivasan Ramachandran, Shakti Gupta, Mano Ram Maurya, Cristian Bologa, Thomas S. DeNapoli, Vincent T. Metzger, , Raja Mazumder

BiomarkerKB integrates and standardizes biomarker data from multiple sources to enable structured exploration and discovery of biomarker-disease relationships.

Patterns · Aug 1, 2026Peer-reviewedBioinformatics

Enhancing the interoperability of glycan data flow between ChEBI, PubChem, and GlyGen.

Rahi Navelkar, Gareth Owen, Venkatesh Muthukrishnan, Paul A Thiessen, Tiejun Cheng, Evan Bolton, Nathan J Edwards, Michael Tiemeyer, Matthew P. Campbell, Maria Jesus Martin, Jeet Kiran Vora, Robel Kahsay, Raja Mazumder

This paper describes a workflow to improve glycan data interoperability between ChEBI, PubChem, and GlyGen by integrating and prioritizing glycan annotations.

Glycobiology · Jul 21, 2021Peer-reviewedBioinformatics

COVID-19 Biomarkers in research: Extension of the OncoMX cancer biomarker data model to capture biomarker data from other diseases.

Nikhita Gogate, Daniel Lyman, Amanda L. Bell, Edmund S. Cauley, Keith A. Crandall, Ashia Joseph, Robel Kahsay, Darren A. Natale, Lynn M. Schriml, Sabyasach Sen, Raja Mazumder

The paper extends a cancer biomarker data model to create a COVID-19 biomarker knowledgebase, integrating 138 biomarkers and 265 type combinations with ontological annotations.

Briefings in Bioinformatics · Apr 27, 2021Peer-reviewedBioinformatics

Identification of Key Differentially Expressed MicroRNAs in Cancer Patients Through Pan-cancer Analysis

Yu Hu, Hayley Dingerdissen, Samir Gupta, Robel Kahsay, Vijay K. Shanker, Quan Wan, Cheng Yan, Raja Mazumder

The paper identifies 21 key differentially expressed miRNAs across 14 cancer types using TCGA data, showing their potential as biomarkers and therapeutic targets.

Computers in Biology and Medicine · Oct 22, 2018Peer-reviewedBioinformatics