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Fabian J Theis
Fabian J Theis
Helmholtz Munich, Technical University of Munich
Bestätigte E-Mail-Adresse bei helmholtz-muenchen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
SCANPY: large-scale single-cell gene expression data analysis
FA Wolf, P Angerer, FJ Theis
Genome biology 19, 1-5, 2018
57352018
SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes
W Sungnak, N Huang, C Bécavin, M Berg, R Queen, M Litvinukova, ...
Nature medicine 26 (5), 681-687, 2020
28372020
SARS-CoV-2 receptor ACE2 is an interferon-stimulated gene in human airway epithelial cells and is detected in specific cell subsets across tissues
CGK Ziegler, SJ Allon, SK Nyquist, IM Mbano, VN Miao, CN Tzouanas, ...
Cell 181 (5), 1016-1035. e19, 2020
24632020
The human cell atlas
A Regev, SA Teichmann, ES Lander, I Amit, C Benoist, E Birney, ...
elife 6, e27041, 2017
22112017
Generalizing RNA velocity to transient cell states through dynamical modeling
V Bergen, M Lange, S Peidli, FA Wolf, FJ Theis
Nature biotechnology 38 (12), 1408-1414, 2020
20212020
Current best practices in single‐cell RNA‐seq analysis: a tutorial
MD Luecken, FJ Theis
Molecular systems biology 15 (6), e8746, 2019
18622019
An atlas of genetic influences on human blood metabolites
SY Shin, EB Fauman, AK Petersen, J Krumsiek, R Santos, J Huang, ...
Nature genetics 46 (6), 543-550, 2014
14382014
Severe COVID-19 is marked by a dysregulated myeloid cell compartment
J Schulte-Schrepping, N Reusch, D Paclik, K Baßler, S Schlickeiser, ...
Cell 182 (6), 1419-1440. e23, 2020
13672020
Diffusion pseudotime robustly reconstructs lineage branching
L Haghverdi, M Büttner, FA Wolf, F Buettner, FJ Theis
Nature methods 13 (10), 845-848, 2016
12892016
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
F Buettner, KN Natarajan, FP Casale, V Proserpio, A Scialdone, FJ Theis, ...
Nature biotechnology 33 (2), 155-160, 2015
12862015
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
FA Wolf, FK Hamey, M Plass, J Solana, JS Dahlin, B Göttgens, ...
Genome biology 20, 1-9, 2019
12842019
Eleven grand challenges in single-cell data science
D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ...
Genome biology 21, 1-35, 2020
11162020
Deep learning: new computational modelling techniques for genomics
G Eraslan, Ž Avsec, J Gagneur, FJ Theis
Nature Reviews Genetics 20 (7), 389-403, 2019
10872019
Single-cell RNA-seq denoising using a deep count autoencoder
G Eraslan, LM Simon, M Mircea, NS Mueller, FJ Theis
Nature communications 10 (1), 390, 2019
9602019
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
A Köttgen, E Albrecht, A Teumer, V Vitart, J Krumsiek, C Hundertmark, ...
Nature genetics 45 (2), 145-154, 2013
9162013
A cellular census of human lungs identifies novel cell states in health and in asthma
FA Vieira Braga, G Kar, M Berg, OA Carpaij, K Polanski, LM Simon, ...
Nature medicine 25 (7), 1153-1163, 2019
8182019
Benchmarking atlas-level data integration in single-cell genomics
MD Luecken, M Büttner, K Chaichoompu, A Danese, M Interlandi, ...
Nature methods 19 (1), 41-50, 2022
7672022
Swarm learning for decentralized and confidential clinical machine learning
S Warnat-Herresthal, H Schultze, KL Shastry, S Manamohan, ...
Nature 594 (7862), 265-270, 2021
6972021
Diffusion maps for high-dimensional single-cell analysis of differentiation data
L Haghverdi, F Buettner, FJ Theis
Bioinformatics 31 (18), 2989-2998, 2015
6682015
Hypergraphs and cellular networks
S Klamt, UU Haus, F Theis
PLoS computational biology 5 (5), e1000385, 2009
6092009
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