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| Open AccessA scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling
Mechanistic models of how single cells respond to different perturbations can help integrate disparate big data sets or predict response to varied drug combinations. Here the authors develop a scalable, open-source pipeline for constructing and simulating large-scale, single-cell mechanistic models, an important building block for clinically-predictive mechanistic models and interpretable big data integration.
- Cemal Erdem
- , Arnab Mutsuddy
- & Marc R. Birtwistle
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Article
| Open AccessSingle-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
Robust quantification of the differentiation potential of single cells is a task of great importance. Here the authors integrate single-cell RNA-Seq profiles with a cellular interaction network to compute the signaling entropy, and show that it can identify normal and cancer stem-cell phenotypes.
- Andrew E. Teschendorff
- & Tariq Enver
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Article
| Open AccessCox process representation and inference for stochastic reaction–diffusion processes
Stochastic reaction-diffusion systems are used for modelling spatial dynamics in many disciplines, but parameter inference and model selection remain challenging. Here the authors offer a solution enabled by a connection between reaction-diffusion and the well-studied spatio-temporal Cox processes.
- David Schnoerr
- , Ramon Grima
- & Guido Sanguinetti
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Delay-induced anomalous fluctuations in intracellular regulation
Direct negative feedback decreases fluctuations in homoeostatic control, but intracellular regulatory systems are indirect. Here, an analytical expression is derived to show that indirect feedback in transcription and translation leads to more fluctuations for intermediate delays but not for long delays.
- Andreas Grönlund
- , Per Lötstedt
- & Johan Elf