Author

Evgeniy Tabatsky

Centre de Recherche sur la Conservation

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 3 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 4 Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Darya Yu. OrlovaiD· 4 shared Claire M. Simpson· 2 shared Devon James EddinsiD· 2 shared Eliver GhosniD· 2 shared Ivan V. GregorettiiD· 2 shared Martin CulkaiD· 2 shared Sasha L. TkacheviD· 2 shared Tyler M. LevyiD· 2 shared

Activity by Year

2024-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersBioinformatics

Darya Yu. OrlovaORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Cell signaling pathways discovery from multi-modal data

Changhan He, Claire M. Simpson, Ian Cossentino, Bin Zhang, Sasha L. Tkachev, Devon James Eddins, Astrid Kosters, Junkai Yang, Shivani Sheth, Tyler M. Levy, Anthony P. Possemato, Linglin Huang, Evgeniy Tabatsky, Soo Hee Lee, Debopam Ghosh, , Darya Yu. Orlova

The paper introduces Incytr, a method for discovering cell signaling pathways from multi-omics data, demonstrating its application in disease contexts and showing its utility for drug discovery and understanding cell communication.

bioRxiv · Feb 6, 2025 · PreprintBioinformatics

SPEX: A modular end-to-end platform for high-plex tissue spatial omics analysis

Xiao Li, Ximo Pechuan-Jorge, Tyler Risom, Conrad Foo, Alexander Prilipko, Artem Zubkov, Caleb K. Chan, Patrick S. Chang, Frank Peale, James M. Ziai, Sandra Rost, Derrek P. Hibar, Lisa M. McGinnis, Evgeniy Tabatsky, Xin Ye, , Rajiv Jesudason

SPEX provides a web-based platform for spatial omics analysis, enabling modular and user-friendly processing of spatial transcriptomics and proteomics data.

GigaScience · Jan 1, 2025Peer-reviewedBioinformatics

Lifting the curse from high dimensional data: Automated projection pursuit clustering for the variety of biological data modalities

Claire M. Simpson, Evgeniy Tabatsky, Zainab Rahil, Devon James Eddins, Sasha L. Tkachev, Florian Georgescauld, Derek Papalegis, Martin Culka, Tyler M. Levy, Ivan V. Gregoretti, Connor Meehan, C. Schiller, Kresimir Bestak, Denis Schapiro, Andrei V. Chernyshev, , Darya Yu. Orlova

The paper introduces APP, a clustering method that reduces high-dimensional biological data to lower dimensions to improve clustering performance across multiple data types.

GigaScience · Jan 1, 2025Peer-reviewedBioinformatics

Tricked by Edge Cases: Can Current Approaches Lead to Accurate Prediction of T-Cell Specificity with Machine Learning?

Martin Culka, Jonathan Desponds, Jeanne Cheung, Mayra Cruz Tleugabulova, Shirley Ng Palace, Martine Darwish, Roman A. Smirnov, Evgeniy Tabatsky, Geraldine Strasser, Andréy S. Shaw, Ira Mellman, Andrei Chernyshev, Darya Yu. Orlova

This paper evaluates machine learning approaches for predicting T-cell receptor specificity, highlighting limitations in current data and methods, and proposes a new framework integrating biophysical measurements.

bioRxiv · Oct 23, 2024 · PreprintImmunology