Coverart for item
The Resource Big mechanisms in systems biology : big data mining, network modeling, and genome-wide data identification

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

Label
Big mechanisms in systems biology : big data mining, network modeling, and genome-wide data identification
Title
Big mechanisms in systems biology
Title remainder
big data mining, network modeling, and genome-wide data identification
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
IDEBK
http://library.link/vocab/creatorName
Chen, Bor-Sen
Dewey number
570.285
Index
index present
LC call number
QH324.2
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Li, Cheng-Wei
http://library.link/vocab/subjectName
  • Systems biology
  • Data mining
Label
Big mechanisms in systems biology : big data mining, network modeling, and genome-wide data identification
Instantiates
Publication
Note
Includes index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
ocn962065420
Extent
1 online resource.
Form of item
online
Isbn
9780128097076
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Specific material designation
remote
Label
Big mechanisms in systems biology : big data mining, network modeling, and genome-wide data identification
Publication
Note
Includes index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
ocn962065420
Extent
1 online resource.
Form of item
online
Isbn
9780128097076
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Specific material designation
remote

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