Computational Modelling Of Gene Regulatory Networks -- A Primer 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Hamid Bolouri 作者

Imperial College Press

译者

2008-8-13 出版日期

340 页数

USD 45.00 价格

Paperback

丛书系列

9781848162211 图书编码

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Computational Modelling Of Gene Regulatory Networks -- A Primer 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Computational Modelling Of Gene Regulatory Networks -- A Primer 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Computational Modelling Of Gene Regulatory Networks -- A Primer 在线电子书图书描述

This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.

Contents:Introduction; What Is a System, and Why Should We Care?; What Models Can and Cannot Predict; Why Make Computational Models of Gene Regulatory Networks?; Graphical Representations of Gene Regulatory Networks; Implicit Modeling via Interaction Network Maps; The Biochemical Basis of Gene Regulation; A Single-Cell Model of Transcriptional Regulation; Simplified Models: Mass-Action Kinetics; Simplified Models: Boolean and Multi-valued Logic; Simplified Models: Bayesian Networks; The Relationship between Logic and Bayesian Networks; Network Inference in Practice; Searching DNA Sequences for Transcription Factor Binding Sites; Model Selection Theory; Simplified Models -- GRN State Signatures in Data; System Dynamics; Robustness Analysis; GRN Modules and Building Blocks; Notes on Data Processing for GRN Modeling; Applications of Computational GRN Modeling; Quo Vadis.

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