國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Analysis of deterministic cyclic gen...

Ahsen, Mehmet Eren.

Analysis of deterministic cyclic gene regulatory network models with delays

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of deterministic cyclic gene regulatory network models with delaysby Mehmet Eren Ahsen, Hitay Ozbay, Silviu-Iulian Niculescu.
作者:	Ahsen, Mehmet Eren.
其他作者:	Ozbay, Hitay.
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xiii, 94 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Gene regulatory networksMathematical models.
電子資源:	http://dx.doi.org/10.1007/978-3-319-15606-4
ISBN:	9783319156064 (electronic bk.)

Analysis of deterministic cyclic gene regulatory network models with delays
Ahsen, Mehmet Eren.

Analysis of deterministic cyclic gene regulatory network models with delays[electronic resource] /by Mehmet Eren Ahsen, Hitay Ozbay, Silviu-Iulian Niculescu. - Cham :Springer International Publishing :2015. - xiii, 94 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering, Control, automation and robotics,2191-8112. - SpringerBriefs in electrical and computer engineering.Control, automation and robotics..

Preface -- Introduction -- Basic Tools from Systems and Control Theory -- Functions with Negative Schwarzian Derivatives -- Deterministic ODE-Based Model with Time Delay -- Gene Regulatory Networks under Negative Feedback -- Gene Regulatory Networks under Positive Feedback -- Summary and Concluding Remarks -- References.

This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.

ISBN: 9783319156064 (electronic bk.)

Standard No.: 10.1007/978-3-319-15606-4doiSubjects--Topical Terms:

714237
Gene regulatory networks
--Mathematical models.

LC Class. No.: QH450

Dewey Class. No.: 572.865015118

Analysis of deterministic cyclic gene regulatory network models with delays
LDR:02367nmm a2200337 a 4500 001 461843
003 DE-He213
005 20150921105657.0
006 m d
007 cr nn 008maaau
008 151110s2015 gw s 0 eng d
020 $a 9783319156064 (electronic bk.)
020 $a 9783319156057 (paper)
024 7 $a 10.1007/978-3-319-15606-4 $2 doi
035 $a 978-3-319-15606-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QH450
072 7 $a GPFC $2 bicssc
072 7 $a SCI064000 $2 bisacsh
072 7 $a TEC004000 $2 bisacsh
082 0 4 $a 572.865015118 $2 23
090 $a QH450 $b .A287 2015
100 1 $a Ahsen, Mehmet Eren. $3 714235
245 1 0 $a Analysis of deterministic cyclic gene regulatory network models with delays $h [electronic resource] / $c by Mehmet Eren Ahsen, Hitay Ozbay, Silviu-Iulian Niculescu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Birkhauser, $c 2015.
300 $a xiii, 94 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, Control, automation and robotics, $x 2191-8112
505 0 $a Preface -- Introduction -- Basic Tools from Systems and Control Theory -- Functions with Negative Schwarzian Derivatives -- Deterministic ODE-Based Model with Time Delay -- Gene Regulatory Networks under Negative Feedback -- Gene Regulatory Networks under Positive Feedback -- Summary and Concluding Remarks -- References.
520 $a This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.
650 0 $a Gene regulatory networks $x Mathematical models. $3 714237
650 0 $a Gene regulatory networks $x Computer simulation. $3 714238
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Systems Theory, Control. $3 274654
650 2 4 $a Mathematical and Computational Biology. $3 514442
650 2 4 $a Gene Expression. $3 220379
650 2 4 $a Control, Robotics, Mechatronics. $3 339147
700 1 $a Ozbay, Hitay. $3 714236
700 1 $a Niculescu, Silviu-Iulian. $3 229329
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $p Control, automation and robotics. $3 592008
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-15606-4
950 $a Engineering (Springer-11647)