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- Original title:
- Modeling dynamical biological processes through the lens of single-cell genomics
- Translated title:
- Modellierung von dynamischen biologischen Prozessen auf Basis von Einzelzell-Genomik Daten
- Author:
- Lange, Marius
- Year:
- 2022
- Document type:
- Dissertation
- Faculty/School:
- TUM School of Computation, Information and Technology
- Advisor:
- Theis, Fabian (Prof. Dr. Dr.)
- Referee:
- Theis, Fabian (Prof. Dr. Dr.); Pe'er, Dana (Prof. Dr.); Morris, Samantha (Prof. Dr.)
- Language:
- en
- Subject group:
- MAT Mathematik
- Keywords:
- Markov processes, optimal transport, transport theory, stochastic processes, graphs, KNN, single-cell genomics, RNA velocity, lineage tracing, cellrank, moscot
- Translated keywords:
- Markov Prozesse, Optimaler Transport, Stochastische Prozesse, Einzelzell-Genomik
- TUM classification:
- BIO 110; MAT 022
- Abstract:
- Cells dynamically change their molecular state in many situations. Single-cell assays allow us to describe this state with unprecedented resolution; however, cells are destroyed upon sequencing, making it difficult to study continuous processes. This difficulty has fueled the development of mathematical methods that use ensembles of cells to reconstruct latent trajectories. In this thesis, we present new approaches for trajectory reconstruction which build on recent experimental innovations.
- Translated abstract:
- Zellen ändern ihren molekularen Zustand dynamisch in vielen Situationen. Einzelzell-Techniken erlauben uns, diesen Zustand mit großer Präzision zu messen, allerdings werden Zellen durch die Messung zerstört. Dies erschwert die Untersuchung von dynamischen Prozessen und hat zur Entwicklung mathematischer Modelle geführt, welche aus Zell-Ensembles latente Trajektorien rekonstruieren. In dieser Dissertation präsentieren wir neue Methoden zur Trajektorien-Rekonstruktion auf Basis innovativer experim... »
- WWW:
- https://mediatum.ub.tum.de/?id=1656496
- Date of submission:
- 02.05.2022
- Oral examination:
- 24.10.2022
- File size:
- 54785413 bytes
- Pages:
- 213
- Urn (citeable URL):
- https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20221024-1656496-1-9
- Last change:
- 21.11.2022
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Occurrences:
- mediaTUM GesamtbestandElektronische PrüfungsarbeitenSchoolTUM School of Computation, Information and Technology
- mediaTUM GesamtbestandEinrichtungenSchools TUM School of Computation, Information and TechnologyPrüfungsarbeitenDissertationen