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, Klever, Maren, Lösch, Andreas, Hu, Y. Linda
, Vocht, Stefan, Rupp, Kevin, Grasedyck, Lars, Spang, Rainer
und Beerenwinkel, Niko
(2024)
Correcting for Observation Bias in Cancer Progression Modeling.
Journal of Computational Biology 31 (10), S. 927-945.
Volltext nicht vorhanden.
Pfahler, Simon, Georg, Peter, Schill, Rudolf
, Klever, Maren, Grasedyck, Lars, Spang, Rainer
und Wettig, Tilo
(2024)
Taming numerical imprecision by adapting the KL divergence to negative probabilities.
Statistics and Computing 34 (168).
Rupp, Kevin, Lösch, Andreas, Hu, Y. Linda
, Nie, Chenxi, Schill, Rudolf
, Klever, Maren, Pfahler, Simon, Grasedyck, Lars, Wettig, Tilo, Beerenwinkel, Niko und Spang, Rainer
(2024)
Modeling metastatic progression from cross-sectional cancer genomics data.
Bioinformatics 40 (suppl1), i140-i150.
Rupp, Kevin, Schill, Rudolf
, Süskind, Jonas, Georg, Peter, Klever, Maren, Lösch, Andreas, Grasedyck, Lars, Wettig, Tilo
und Spang, Rainer
(2024)
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models.
Computational Statistics.
Schill, Rudolf
, Klever, Maren, Rupp, Kevin, Hu, Y. Linda
, Lösch, Andreas, Georg, Peter, Pfahler, Simon, Vocht, Stefan, Hansch, Stefan, Wettig, Tilo
, Grasedyck, Lars und Spang, Rainer
(2024)
Reconstructing Disease Histories in Huge Discrete State Spaces.
KI - Künstliche Intelligenz.
Schill, Rudolf
(2022)
Mutual Hazard Networks: Markov chain models of cancer progression.
Dissertation, Universität Regensburg.
Georg, Peter, Grasedyck, Lars, Klever, Maren, Schill, Rudolf
, Spang, Rainer
und Wettig, Tilo
(2022)
Low-rank tensor methods for Markov chains with applications to tumor progression models.
Journal of Mathematical Biology 86 (7).
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