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Low-rank tensor methods for Markov chains with applications to tumor progression models
Georg, Peter, Grasedyck, Lars, Klever, Maren, Schill, Rudolf, Spang, Rainer and Wettig, Tilo (2023) Low-rank tensor methods for Markov chains with applications to tumor progression models. Journal of Mathematical Biology 86 (1).Date of publication of this fulltext: 18 Mar 2025 10:02
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| Item type | Article | ||||
| Journal or Publication Title | Journal of Mathematical Biology | ||||
| Publisher: | SPRINGER HEIDELBERG | ||||
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| Place of Publication: | HEIDELBERG | ||||
| Volume: | 86 | ||||
| Number of Issue or Book Chapter: | 1 | ||||
| Date | 2023 | ||||
| Institutions | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) Informatics and Data Science > Department Computational Life Science > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) Physics > Institute of Theroretical Physics | ||||
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| Keywords | SIGNALING PATHWAYS; MATRIX; APPROXIMATION; ALGORITHMS; FORMULATION; Transient distribution; Stochastic Automata Networks; Mutual Hazard Networks; Hierarchical Tucker format | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 75634 |
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