F Alexander Wolf

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 8

Top Topics

Top Venues

Nature biotechnology

Science (New York, N.Y.)

This page only lists publications with an associated author ORCID identifier.

Publications

Isaac Virshup, Danila Bredikhin, Lukas Heumos, Giovanni Palla, Gregor Sturm, Adam Gayoso, Ilia Kats, Mikaela Koutrouli, null null, Bonnie Berger, Dana Pe'er, Aviv Regev, Sarah A Teichmann, Francesca Finotello, F Alexander Wolf, Nir Yosef, Oliver Stegle, Fabian Joachim Theis
The scverse project provides a computational ecosystem for single-cell omics data analysis. Nature biotechnology (2023)
Volker Bergen, Marius Lange, Stefan Peidli, F Alexander Wolf, Fabian Joachim Theis
Generalizing RNA velocity to transient cell states through dynamical modeling. Nature biotechnology 38 (12) (2020)
Mohammad Lotfollahi, F Alexander Wolf, Fabian Joachim Theis
scGen predicts single-cell perturbation responses. Nature methods 16 (8) (2019)
F Alexander Wolf, Fiona K Hamey, Mireya Plass, Jordi Solana, Joakim S Dahlin, Berthold Göttgens, Nikolaus Rajewsky, Lukas Simon, Fabian J Theis
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells. Genome biology 20 (1) (2019)
F Alexander Wolf, Philipp Angerer, Fabian J Theis
SCANPY: large-scale single-cell gene expression data analysis. Genome biology 19 (1) (2018)
Mireya Plass, Jordi Solana, F Alexander Wolf, Salah Ayoub, Aristotelis Misios, Petar Glažar, Benedikt Obermayer, Fabian Joachim Theis, Christine Kocks, Nikolaus Rajewsky
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics. Science (New York, N.Y.) 360 (6391) (2018)
Maren Büttner, Zhichao Miao, F Alexander Wolf, Sarah A Teichmann, Fabian Joachim Theis
A test metric for assessing single-cell RNA-seq batch correction. Nature methods 16 (1) (2018)
Philipp Eulenberg, Niklas Köhler, Thomas Blasi, Andrew Filby, Anne E Carpenter, Paul Rees, Fabian Joachim Theis, F Alexander Wolf
Reconstructing cell cycle and disease progression using deep learning. Nature communications 8 (1) (2017)