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- W2939681903 abstract "Cellular signaling is essential in information processing and decision making. Therefore, a variety of experimental approaches have been developed to study signaling on bulk and single-cell level. Single-cell measurements of signaling molecules demonstrated a substantial cell-to-cell variability, raising questions about its causes and mechanisms and about how cell populations cope with or exploit cellular heterogeneity. To gain insights from single-cell signaling data, analysis and modeling approaches have been introduced. This review discusses these modeling approaches, with a focus on recent advances in the development and calibration of mechanistic models. Additionally, it outlines current and future challenges." @default.
- W2939681903 created "2019-04-25" @default.
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- W2939681903 date "2019-04-17" @default.
- W2939681903 modified "2023-09-27" @default.
- W2939681903 title "Mathematical modeling of variability in intracellular signaling" @default.
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