裹住
发表于 2025-3-28 18:21:52
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legacy
发表于 2025-3-28 19:35:43
E. Lütjen-Drecoll,P. Steuhl,W. H. Arnoldmodule network inference, present protocols for common gene regulatory network reconstruction scenarios based on the Lemon-Tree software, and show, using human gene expression data, how the software can also be applied to learn differential module networks across multiple experimental conditions.
LAIR
发表于 2025-3-29 02:16:52
https://doi.org/10.1007/978-3-662-63874-3n of deterministic and stochastic frameworks, and the quantitative modelling of regulation. We particularly focus on the use of such models for the simulation of expression data that can serve as a benchmark for the testing of network inference algorithms.
bypass
发表于 2025-3-29 06:02:35
https://doi.org/10.1007/978-3-662-63596-4f such large-scale models, most algorithms require intractably high computation times. This chapter provides an overview of the state-of-the-art methods for parameter and model inference, with an emphasis on scalability.
挖掘
发表于 2025-3-29 11:02:12
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捕鲸鱼叉
发表于 2025-3-29 13:05:34
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PAEAN
发表于 2025-3-29 17:57:46
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TEN
发表于 2025-3-29 22:41:08
,Aus der forstlichen Geräthekammer,actical applications with pointers to publicly available software implementations are included. The chapter concludes with a comprehensive comparative benchmark study on simulated data and a real-work application taken from the current plant systems biology.
神化怪物
发表于 2025-3-30 01:27:20
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思想上升
发表于 2025-3-30 07:03:55
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