Author

Thomas Blasi

Broad Institute

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:batch correction / integration· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Andrew J. FilbyiD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Carsten MarriD· 1 shared F. Alexander WolfiD· 1 shared Fabian J Theis· 1 shared Fabian Joachim TheisiD· 1 shared Florian Buettner· 1 shared Michael K Strasser· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Andrew J. FilbyORCID

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2 papers

Recent·Most cited

Reconstructing cell cycle and disease progression using deep learning

Philipp Eulenberg, Niklas Köhler, Thomas Blasi, Andrew J. Filby, Anne Elizabeth Carpenter, Paul C. T. Rees, Fabian Joachim Theis, F. Alexander Wolf

This paper uses deep learning to reconstruct cell cycle stages and disease progression from image data, achieving lower error rates and faster analysis.

Nature Communications · Aug 31, 2017Peer-reviewedBioinformatics

cgCorrect: A method to correct for confounding cell-cell variation due to cell growth in single-cell transcriptomics

Thomas Blasi, Florian Buettner, Michael K Strasser, Carsten Marr, Fabian J Theis

cgCorrect corrects cell size-related variability in single-cell transcriptomics data, improving analysis of gene expression heterogeneity.

bioRxiv · Jun 7, 2016Bioinformatics