Big mechanisms in systems biology : big data mining, network modeling, and genome-wide data identification.: big data mining, network modeling, and genome-wide data identification. (2016)

• Record Type: Book
• Other Names: Chen, Bor-Sen; Li, Cheng-Wei
• Contents: Front Cover; Big Mechanisms in Systems Biology; Copyright Page; Contents; 1 Introduction to Big Mechanisms in Systems Biology; Introduction; 1.1 Introduction to Big Mechanisms; 1.2 Big Mechanisms in Systems Biology; 1.3 The Scope of Big Mechanisms of Systems Biology in This Book; References; 2 System Modeling and System Identification Methods for Big Mechanisms in Biological Systems; Introduction; 2.1 Dynamic System Models and Their Parameter Estimation by Time-Profile Experimental Data; 2.1.1 Dynamic model and parameter estimation for PPIN 2.1.2 Dynamic models and their parameter estimation by time-profile microarray data for GRNs2.2 Static Models and Their Parameter Estimation by Sample Microarray Data; 2.2.1 Static modeling and parameter identification of PPIN by sample microarray data; 2.2.2 Static modeling and parameter identification in the GRN by sample microarray data; 2.3 Modeling and Identification of Integrated Genetic and Epigenetic Cellular Networks; 2.3.1 Dynamic system model for integrated genetic and epigenetic cellular networks; 2.3.2 Static system model for integrated genetic and epigenetic cellular networks 2.4 The Core Network by PNP of the Integrated Genetic and Epigenetic Cellular Network Using PCAReferences; 3 Procedure for Exploring Big Mechanisms of Systems Biology Through System Identification and Big Database Mining; Introduction; 3.1 Big Mechanisms Based on GRNs by System Identification and Big Database Mining; 3.2 Big Mechanisms Based on PPINs by System Identification and Big Database Mining; 3.3 Big Mechanisms Based on the Integrated GRN and PPIN by System Identification and Big Database Mining 3.4 Big Mechanisms Based on the Integrated Genetic and Epigenetic Cellular Network by System Identification and Big Databas...References; 4 Big Cellular Mechanisms in the Cell Cycle by System Identification and Big Data Mining; Introduction; 4.1 Constructing Transcriptional Regulatory Network to Investigate the Big Mechanisms in the Yeast Cell Cycle by System Ide...; 4.1.1 Methods to construct GRN of yeast cell cycle; Dynamic modeling of gene expression; Iterative algorithm for finding regulators in yeast cell cycle; 4.1.2 Cellular mechanisms of GRN in yeast cell cycle; Yeast cell cycle data Logical inference from regulatory synergyTranscriptional regulatory network; 4.1.3 Discussion of big cellular mechanisms in yeast cell cycle; Appendix A: Matched Filter for Selecting More Correlated Regulators in Yeast Cell Cycle; 4.2 Constructing TRMs for Big Regulatory Mechanisms of the Yeast Cell Cycle; 4.2.1 Background of MOFA; 4.2.2 MOFA algorithm in finding TRMs in yeast cell cycle; Validation of the identified modules; Identification of important TFs and their combinations for yeast cell cycle; 4.2.3 Discussion of the MOFA algorithm; Relationships between two TFs of a module
• Publisher Details: London : Academic Press
• Publication Date: 2016
• Extent: 1 online resource
• Subjects: 570.285; Systems biology; Data mining; Electronic books
• Languages: English
• ISBNs: 0128097078; 9780128097076
• Related ISBNs: 0128094796; 9780128094792
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.