Fabian J Theis
Fabian J Theis
Verified email at helmholtz-muenchen.de - Homepage
TitleCited byYear
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, 2015
6232015
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, 2014
4942014
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, 2013
4632013
Sparse component analysis and blind source separation of underdetermined mixtures
P Georgiev, F Theis, A Cichocki
IEEE Transactions on Neural Networks 16 (4), 993, 2005
3652005
Science forum: the human cell atlas
A Regev, SA Teichmann, ES Lander, I Amit, C Benoist, E Birney, ...
Elife 6, e27041, 2017
3452017
Diffusion pseudotime robustly reconstructs lineage branching
L Haghverdi, M Buettner, FA Wolf, F Buettner, FJ Theis
Nature methods 13 (10), 845, 2016
2922016
Hypergraphs and cellular networks
S Klamt, UU Haus, F Theis
PLoS computational biology 5 (5), e1000385, 2009
2842009
MicroRNA loss enhances learning and memory in mice
W Konopka, A Kiryk, M Novak, M Herwerth, JR Parkitna, M Wawrzyniak, ...
Journal of Neuroscience 30 (44), 14835-14842, 2010
2662010
Discovery of sexual dimorphisms in metabolic and genetic biomarkers
K Mittelstrass, JS Ried, Z Yu, J Krumsiek, C Gieger, C Prehn, ...
PLoS genetics 7 (8), e1002215, 2011
2492011
Diffusion maps for high-dimensional single-cell analysis of differentiation data
L Haghverdi, F Buettner, FJ Theis
Bioinformatics 31 (18), 2989-2998, 2015
2462015
Live imaging of astrocyte responses to acute injury reveals selective juxtavascular proliferation
S Bardehle, M Krüger, F Buggenthin, J Schwausch, J Ninkovic, H Clevers, ...
Nature neuroscience 16 (5), 580, 2013
2352013
Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations
NK Wilson, DG Kent, F Buettner, M Shehata, IC Macaulay, ...
Cell stem cell 16 (6), 712-724, 2015
2342015
Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis
V Moignard, IC Macaulay, G Swiers, F Buettner, J Schütte, ...
Nature cell biology 15 (4), 363, 2013
2342013
Decoding the regulatory network of early blood development from single-cell gene expression measurements
V Moignard, S Woodhouse, L Haghverdi, AJ Lilly, Y Tanaka, ...
Nature biotechnology 33 (3), 269, 2015
2262015
The dynamic range of the human metabolome revealed by challenges
S Krug, G Kastenmüller, F Stückler, MJ Rist, T Skurk, M Sailer, J Raffler, ...
The FASEB Journal 26 (6), 2607-2619, 2012
2232012
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data
J Krumsiek, K Suhre, T Illig, J Adamski, FJ Theis
BMC systems biology 5 (1), 21, 2011
2222011
PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes
A Ruepp, A Kowarsch, D Schmidl, F Buggenthin, B Brauner, I Dunger, ...
Genome biology 11 (1), R6, 2010
2032010
SCANPY: large-scale single-cell gene expression data analysis
FA Wolf, P Angerer, FJ Theis
Genome biology 19 (1), 15, 2018
1992018
Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling
DM Wittmann, J Krumsiek, J Saez-Rodriguez, DA Lauffenburger, S Klamt, ...
BMC systems biology 3 (1), 98, 2009
1942009
Lessons learned from quantitative dynamical modeling in systems biology
A Raue, M Schilling, J Bachmann, A Matteson, M Schelke, D Kaschek, ...
PloS one 8 (9), e74335, 2013
1872013
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