CALL
发表于 2025-3-23 10:09:17
https://doi.org/10.1007/978-3-642-00854-2 derivative CRN, most of which being models of oscillators and control systems in the cell, and discuss in detail two such examples: one model of the circadian clock and one model of a bistable switch.
Indict
发表于 2025-3-23 16:03:59
Information procurement decisionsin this context. Therefore, Harissa can be used both as an inference tool, to reconstruct biologically relevant networks from time-course scRNA-seq data, and as a simulation tool, to generate quantitative gene expression profiles in a non-trivial way through gene interactions.
antiquated
发表于 2025-3-23 22:04:20
Overview of decision-making procedurefference between the output variables in the original and reduced model, is in the order of .. Furthermore, we provide a heuristic algorithm to find the smallest . for a given maximal approximation error. Finally, we demonstrate the approach in biological models from the literature by providing coar
semiskilled
发表于 2025-3-23 22:41:03
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gusher
发表于 2025-3-24 05:53:18
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MIR
发表于 2025-3-24 09:23:55
Conference proceedings 2023ected from 28 submissions. CMSB focuses on modeling, simulation, analysis, design and control of biological systems and covers the broad field of computational methods and tools in systems and synthetic biology and their applications. .
Phonophobia
发表于 2025-3-24 11:51:12
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不开心
发表于 2025-3-24 15:31:22
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昏迷状态
发表于 2025-3-24 22:29:49
Developing and evaluating optionsl framework) or both cells (population framework). For both frameworks, we find an exact time-independent distribution of protein concentration and cell volume. We explore the consequences of dilution feedback on ergodicity, population growth rate, and the bias of the population distribution towards faster growing cells with less protein.
Morphine
发表于 2025-3-25 00:32:19
,Attractor Identification in Asynchronous Boolean Dynamics with Network Reduction,of candidate attractor states, which are then screened with techniques of reachability analysis combined with trap space computation. An implementation that brings together recently developed Boolean network analysis tools, tested on biological models and random benchmark networks, shows the potential to significantly reduce running times.