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Computational systems biologyinferen...

Lecca, Paola, (1973-)

Computational systems biologyinference and modelling /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational systems biologyPaola Lecca [and 4 others].
其他題名:	inference and modelling /
作者:	Lecca, Paola,
出版者:	Amsterdam :Woodhead Publishing, an imprint of Elsevier,©2016.
面頁冊數:	1 online resource (xv, 164 p.) :ill. (some col.)
標題:	Bioinformatics.
電子資源:	https://www.sciencedirect.com/science/book/9780081000953
ISBN:	9780081001158 (electronic bk.)

Computational systems biologyinference and modelling /
Lecca, Paola,1973-

Computational systems biologyinference and modelling /[electronic resource] :Paola Lecca [and 4 others]. - Amsterdam :Woodhead Publishing, an imprint of Elsevier,©2016. - 1 online resource (xv, 164 p.) :ill. (some col.) - Woodhead Publishing series in biomedicine,number 862050-0289 ;. - Woodhead Publishing series in biomedicine ;no. 9..

Includes bibliographical references (p. 145-160) and index.

Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling. The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.

ISBN: 9780081001158 (electronic bk.)Subjects--Topical Terms:

194415
Bioinformatics.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QH324.2 / .L432 2016eb

Dewey Class. No.: 570.1/13

Computational systems biologyinference and modelling /
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520 $a Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling. The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.
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