Author

Mikhail Zaslavskiy

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· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Albert A. AntolíniD· 1 shared Alberto CalderoneiD· 1 shared Alberto RomagnoniiD· 1 shared Alicia AmadoziD· 1 shared Amin AllamiD· 1 shared Amir B. K. ForoushaniiD· 1 shared Anastasios DrosouiD· 1 shared André O. FalcãoiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Albert A. AntolínORCID

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2 papers

Recent·Most cited

Transcriptomic learning for digital pathology

Benoît Schmauch, Alberto Romagnoni, Elodie Pronier, Charlie Saillard, Pascale Maillé, Julien Caldéraro, Meriem Sefta, Sylvain Toldo, Mikhail Zaslavskiy, Thomas Clozel, Matahi Moarii, Pierre Courtiol, Gilles Wainrib

This paper introduces HE2RNA, a deep learning model that predicts RNA-Seq profiles from histology slides without expert annotation, showing improved performance in predicting microsatellite instability.

bioRxiv · Oct 11, 2019 · PreprintBioinformatics

A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction

Michael P. Menden, Dennis Y.Q. Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Von Yu, Jaewoo Kang, Minji Jeon, Russell D. Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, Jordi Abante, Bárbara Schmitz‐Abecassis, Nanne Aben, , Denis Fourches

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.

Nature Communications · Jun 17, 2019Peer-reviewedBioinformatics