Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics.
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Relaxation oscillations and hierarchy of feedbacks in MAPK signalingInferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.Computational modeling of sphingolipid metabolism.Parameter identifiability analysis and visualization in large-scale kinetic models of biosystemsEmergent memory in cell signaling: Persistent adaptive dynamics in cascades can arise from the diversity of relaxation time-scales
P2860
Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics.
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name
Clustering reveals limits of p ...... odels of biochemical dynamics.
@ast
Clustering reveals limits of p ...... odels of biochemical dynamics.
@en
type
label
Clustering reveals limits of p ...... odels of biochemical dynamics.
@ast
Clustering reveals limits of p ...... odels of biochemical dynamics.
@en
prefLabel
Clustering reveals limits of p ...... odels of biochemical dynamics.
@ast
Clustering reveals limits of p ...... odels of biochemical dynamics.
@en
P2093
P2860
P1433
P1476
Clustering reveals limits of p ...... models of biochemical dynamics
@en
P2093
Karol Nienałtowski
Michał Komorowski
Michał Włodarczyk
P2860
P2888
P356
10.1186/S12918-015-0205-8
P577
2015-09-29T00:00:00Z
P5875
P6179
1026901258