Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics.
- Published in:
- BMC Systems Biology, 2015, v. 9, n. 1, p. 1, doi. 10.1186/s12918-015-0205-8
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- Publication type:
- Article
Works by Nienałtowski, Karol
Results: 6
1
2
Computational modeling of sphingolipid metabolism.
- Published in:
- BMC Systems Biology, 2015, v. 9, n. 1, p. 1, doi. 10.1186/s12918-015-0176-9
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- Publication type:
- Article
3
An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling.
- Published in:
- Nature Communications, 2018, v. 9, n. 1, p. 1, doi. 10.1038/s41467-018-07085-1
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- Publication type:
- Article
4
Information-theoretic analysis of multivariate single-cell signaling responses.
- Published in:
- PLoS Computational Biology, 2019, v. 15, n. 7, p. 1, doi. 10.1371/journal.pcbi.1007132
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- Publication type:
- Article
5
Phenotypic variability, not noise, accounts for most of the cell-to-cell heterogeneity in IFN-γ and oncostatin M signaling responses.
- Published in:
- Science Signaling, 2022, v. 15, n. 721, p. 1, doi. 10.1126/scisignal.abd9303
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- Publication type:
- Article
6
Fractional response analysis reveals logarithmic cytokine responses in cellular populations.
- Published in:
- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-24449-2
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- Publication type:
- Article