Author

Florian Buettner

Primary ORCID profile (0000-0001-5587-6761 · 13 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Florian BuettneriD13 papers · Goethe University Frankfurt

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:batch correction / integration· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Carsten MarriD· 2 shared Laleh Haghverdi· 2 shared F. Alexander Wolf· 1 shared Fabian J Theis· 1 shared Fabian J. Theis· 1 shared Fabian Theis· 1 shared Maren Buettner· 1 shared Maren Büttner· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Carsten MarrORCID

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Author profile →

3 papers

Recent·Most cited

Diffusion pseudotime robustly reconstructs lineage branching

Laleh Haghverdi, Maren Buettner, F. Alexander Wolf, Florian Buettner, Fabian J. Theis

The paper introduces a method to estimate the temporal order of differentiating cells using diffusion pseudotime, identifying branching decisions and differentially regulated genes.

Nature Methods · Aug 29, 2016Peer-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

destiny – diffusion maps for large-scale single-cell data in R

Philipp Angerer, Laleh Haghverdi, Maren Büttner, Fabian Theis, Carsten Marr, Florian Buettner

The paper introduces destiny, an R package for diffusion maps in single-cell data, with efficient nearest-neighbour approximation and noise modeling for large datasets.

bioRxiv · Oct 9, 2015Bioinformatics