東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling and analysis of bio-molecul...

Lu, Jinhu.

Linked to FindBook

Google Book

Amazon

博客來

Modeling and analysis of bio-molecular networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and analysis of bio-molecular networks/ by Jinhu Lu, Pei Wang.
Author:	Lu, Jinhu.
other author:	Wang, Pei.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xxi, 464 p. :ill., digital ;24 cm.
[NT 15003449]:	1 Introduction and Preliminaries -- 2 Reconstruction of Bio-molecular Networks -- 3 Modeling and Analysis of Simple Genetic Circuits -- 4 Modeling and Analysis of Coupled Bio-molecular Circuits -- 5 Modeling and Analysis of Large-scale Networks -- 6 Evolutionary Mechanisms of Network Motifs in PPI Networks -- 7 Identifying Important Nodes in Bio-molecular Networks -- 8 Statistical Analysis of Functional Genes in Human PPI Networks -- 9 Data-driven Statistical Approaches for Omics Data Analysis.
Contained By:	Springer Nature eBook
Subject:	Molecular biology - Data processing. -
Online resource:	https://doi.org/10.1007/978-981-15-9144-0
ISBN:	9789811591440

Modeling and analysis of bio-molecular networks
Lu, Jinhu.

Modeling and analysis of bio-molecular networks[electronic resource] /by Jinhu Lu, Pei Wang. - Singapore :Springer Singapore :2020. - xxi, 464 p. :ill., digital ;24 cm.

1 Introduction and Preliminaries -- 2 Reconstruction of Bio-molecular Networks -- 3 Modeling and Analysis of Simple Genetic Circuits -- 4 Modeling and Analysis of Coupled Bio-molecular Circuits -- 5 Modeling and Analysis of Large-scale Networks -- 6 Evolutionary Mechanisms of Network Motifs in PPI Networks -- 7 Identifying Important Nodes in Bio-molecular Networks -- 8 Statistical Analysis of Functional Genes in Human PPI Networks -- 9 Data-driven Statistical Approaches for Omics Data Analysis.

This book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks? Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships between the structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.

ISBN: 9789811591440

Standard No.: 10.1007/978-981-15-9144-0doiSubjects--Topical Terms:

553672
Molecular biology
--Data processing.

LC Class. No.: QH506

Dewey Class. No.: 572.80285

Modeling and analysis of bio-molecular networks
LDR:03086nmm a2200337 a 4500 001 2257462
003 DE-He213
005 20201206142802.0
006 m d
007 cr nn 008maaau
008 220420s2020 si s 0 eng d
020 $a 9789811591440 $q (electronic bk.)
020 $a 9789811591433 $q (paper)
024 7 $a 10.1007/978-981-15-9144-0 $2 doi
035 $a 978-981-15-9144-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QH506
072 7 $a PSD $2 bicssc
072 7 $a SCI056000 $2 bisacsh
072 7 $a PSD $2 thema
072 7 $a UB $2 thema
082 0 4 $a 572.80285 $2 23
090 $a QH506 $b .L926 2020
100 1 $a Lu, Jinhu. $3 2179155
245 1 0 $a Modeling and analysis of bio-molecular networks $h [electronic resource] / $c by Jinhu Lu, Pei Wang.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xxi, 464 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1 Introduction and Preliminaries -- 2 Reconstruction of Bio-molecular Networks -- 3 Modeling and Analysis of Simple Genetic Circuits -- 4 Modeling and Analysis of Coupled Bio-molecular Circuits -- 5 Modeling and Analysis of Large-scale Networks -- 6 Evolutionary Mechanisms of Network Motifs in PPI Networks -- 7 Identifying Important Nodes in Bio-molecular Networks -- 8 Statistical Analysis of Functional Genes in Human PPI Networks -- 9 Data-driven Statistical Approaches for Omics Data Analysis.
520 $a This book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks? Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships between the structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.
650 0 $a Molecular biology $x Data processing. $3 553672
650 1 4 $a Bioinformatics. $3 553671
650 2 4 $a Computer Applications. $3 891249
700 1 $a Wang, Pei. $3 1620243
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-15-9144-0
950 $a Computer Science (SpringerNature-11645)