David Sebastian Fischer
David Sebastian Fischer
PhD student Computational Biology and Machine Learning, Helmholtz Zentrum München, Germany
Verified email at helmholtz-muenchen.de - Homepage
Cited by
Cited by
Single cells make big data: new challenges and opportunities in transcriptomics
P Angerer, L Simon, S Tritschler, FA Wolf, D Fischer, FJ Theis
Current Opinion in Systems Biology 4, 85-91, 2017
Integrated analyses of single-cell atlases reveal age, gender, and smoking status associations with cell type-specific expression of mediators of SARS-CoV-2 viral entry and …
C Muus, MD Luecken, G Eraslan, A Waghray, G Heimberg, L Sikkema, ...
BioRxiv, 2020
Concepts and limitations for learning developmental trajectories from single cell genomics
S Tritschler, M Büttner, DS Fischer, M Lange, V Bergen, H Lickert, ...
Development 146 (12), dev170506, 2019
Inferring population dynamics from single-cell RNA-sequencing time series data
DS Fischer, AK Fiedler, EM Kernfeld, RMJ Genga, A Bastidas-Ponce, ...
Nature biotechnology 37 (4), 461-468, 2019
Impulse model-based differential expression analysis of time course sequencing data
DS Fischer, FJ Theis, N Yosef
Nucleic acids research 46 (20), e119-e119, 2018
MPRAnalyze: statistical framework for massively parallel reporter assays
T Ashuach, DS Fischer, A Kreimer, N Ahituv, FJ Theis, N Yosef
Genome biology 20 (1), 1-17, 2019
Predicting antigen specificity of single T cells based on TCR CDR3 regions
DS Fischer, Y Wu, B Schubert, FJ Theis
Molecular Systems Biology 16 (8), 2020
Group testing for SARS-CoV-2 allows for up to 10-fold efficiency increase across realistic scenarios and testing strategies
CM Verdun, T Fuchs, P Harar, D Elbrächter, DS Fischer, J Berner, ...
medRxiv, 2020
epiScanpy: integrated single-cell epigenomic analysis
A Danese, ML Richter, DS Fischer, FJ Theis, M Colomé-Tatché
bioRxiv, 648097, 2019
Beyond pseudotime: Following T-cell maturation in single-cell RNAseq time series
DS Fischer, AK Fiedler, E Kernfeld, RMJ Genga, J Hasenauer, R Maehr, ...
bioRxiv, 219188, 2017
Automatic identification of relevant genes from low-dimensional embeddings of single cell RNAseq data
P Angerer, DS Fischer, FJ Theis, A Scialdone, C Marr
Bioinformatics, 2020
Cell-type specific impact of glucocorticoid receptor activation on the developing brain
C Cruceanu, L Dony, AC Krontira, DS Fischer, S Roeh, R Di Giaimo, ...
bioRxiv, 2020
Brain organoids as models of the developing human brain: deciphering the molecular signature of prenatal stress
C Cruceanu, L Dony, AC Kontira, D Fischer, S Roeh, R DiGiaimo, ...
Elsevier, 2019
Variational autoencoders with flexible priors enable robust distribution learning on single-cell RNA sequencing data
L Dony, M König, DS Fischer, FJ Theis
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