Zobrazeno 1 - 10
of 73
pro vyhledávání: '"David S, Fischer"'
Autor:
Felix Fischer, David S. Fischer, Roman Mukhin, Andrey Isaev, Evan Biederstedt, Alexandra-Chloé Villani, Fabian J. Theis
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Identifying cellular identities is a key use case in single-cell transcriptomics. While machine learning has been leveraged to automate cell annotation predictions for some time, there has been little progress in scaling neural networks to l
Externí odkaz:
https://doaj.org/article/238bbc0e49e9451a9362de533c6f954c
Autor:
Bob A Hersbach, David S Fischer, Giacomo Masserdotti, Deeksha, Karolina Mojžišová, Thomas Waltzhöni, Diego Rodriguez‐Terrones, Matthias Heinig, Fabian J Theis, Magdalena Götz, Stefan H Stricker
Publikováno v:
Molecular Systems Biology, Vol 18, Iss 9, Pp 1-23 (2022)
Abstract Despite the therapeutic promise of direct reprogramming, basic principles concerning fate erasure and the mechanisms to resolve cell identity conflicts remain unclear. To tackle these fundamental questions, we established a single‐cell pro
Externí odkaz:
https://doaj.org/article/7ee96a824f2445ee879799d35c3bf713
Autor:
Andreas‐David Brunner, Marvin Thielert, Catherine Vasilopoulou, Constantin Ammar, Fabian Coscia, Andreas Mund, Ole B Hoerning, Nicolai Bache, Amalia Apalategui, Markus Lubeck, Sabrina Richter, David S Fischer, Oliver Raether, Melvin A Park, Florian Meier, Fabian J Theis, Matthias Mann
Publikováno v:
Molecular Systems Biology, Vol 18, Iss 3, Pp 1-15 (2022)
Abstract Single‐cell technologies are revolutionizing biology but are today mainly limited to imaging and deep sequencing. However, proteins are the main drivers of cellular function and in‐depth characterization of individual cells by mass spect
Externí odkaz:
https://doaj.org/article/ac8470a27f154fe790c1489104ae340a
Autor:
Anna Danese, Maria L. Richter, Kridsadakorn Chaichoompu, David S. Fischer, Fabian J. Theis, Maria Colomé-Tatché
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
The authors present epiScanpy: a computational framework for the analysis of single-cell epigenomic data, both ATAC-seq and DNA methylation data, with examples for clustering, cell type identification, trajectory learning and atlas integration - and
Externí odkaz:
https://doaj.org/article/080e8714432f46029536734062f84ff2
Autor:
David S. Fischer, Leander Dony, Martin König, Abdul Moeed, Luke Zappia, Lukas Heumos, Sophie Tritschler, Olle Holmberg, Hananeh Aliee, Fabian J. Theis
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-21 (2021)
Abstract Single-cell RNA-seq datasets are often first analyzed independently without harnessing model fits from previous studies, and are then contextualized with public data sets, requiring time-consuming data wrangling. We address these issues with
Externí odkaz:
https://doaj.org/article/42d3581d43904bdf861e73681f736824
Autor:
David S. Fischer, Meshal Ansari, Karolin I. Wagner, Sebastian Jarosch, Yiqi Huang, Christoph H. Mayr, Maximilian Strunz, Niklas J. Lang, Elvira D’Ippolito, Monika Hammel, Laura Mateyka, Simone Weber, Lisa S. Wolff, Klaus Witter, Isis E. Fernandez, Gabriela Leuschner, Katrin Milger, Marion Frankenberger, Lorenz Nowak, Katharina Heinig-Menhard, Ina Koch, Mircea G. Stoleriu, Anne Hilgendorff, Jürgen Behr, Andreas Pichlmair, Benjamin Schubert, Fabian J. Theis, Dirk H. Busch, Herbert B. Schiller, Kilian Schober
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
High resolution characterisation of the virus specific T cell response to SARS CoV2 provides further understanding to the immune response to the infection. Here the authors apply a reverse phenotyping approach to interrogate the SARS-CoV-2 T cell com
Externí odkaz:
https://doaj.org/article/84508b147f414165a4d89699fa0e872a
Publikováno v:
Molecular Systems Biology, Vol 16, Iss 8, Pp 1-14 (2020)
Abstract It has recently become possible to simultaneously assay T‐cell specificity with respect to large sets of antigens and the T‐cell receptor sequence in high‐throughput single‐cell experiments. Leveraging this new type of data, we propo
Externí odkaz:
https://doaj.org/article/c1e080fe74514040907d1c15f461e086
Publikováno v:
Molecular Metabolism, Vol 57, Iss , Pp 101396- (2022)
Background: Single-cell metabolic studies bring new insights into cellular function, which can often not be captured on other omics layers. Metabolic information has wide applicability, such as for the study of cellular heterogeneity or for the under
Externí odkaz:
https://doaj.org/article/7b272895c17a464da877e1c41dc19e24
Autor:
Claudio M. Verdun, Tim Fuchs, Pavol Harar, Dennis Elbrächter, David S. Fischer, Julius Berner, Philipp Grohs, Fabian J. Theis, Felix Krahmer
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
Background: Due to the ongoing COVID-19 pandemic, demand for diagnostic testing has increased drastically, resulting in shortages of necessary materials to conduct the tests and overwhelming the capacity of testing laboratories. The supply scarcity a
Externí odkaz:
https://doaj.org/article/bec6e7ffd46147e8ae24995e9d58e959
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-17 (2019)
Abstract Massively parallel reporter assays (MPRAs) can measure the regulatory function of thousands of DNA sequences in a single experiment. Despite growing popularity, MPRA studies are limited by a lack of a unified framework for analyzing the resu
Externí odkaz:
https://doaj.org/article/97ef464cf934410ab49f7c02fc87f75b