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Networks in systems biology = applic...

Alves Barbosa da Silva, Fabricio.

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Networks in systems biology = applications for disease modeling /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Networks in systems biology/ edited by Fabricio Alves Barbosa da Silva ... [et al.].
其他題名:	applications for disease modeling /
其他作者:	Alves Barbosa da Silva, Fabricio.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	x, 377 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Network Medicine: Methods and Applications -- 2. Computational Tools to Compare Biological Networks -- 3. Functional Gene Networks and their Applications -- 4. A Review of Artificial Neural Networks for the Prediction of Essential Proteins -- 5. Transcriptograms: A Genome Wide Gene Expression Analysis Method -- 6. A Tutorial on Sobols' Global Sensitivity Analysis Applied to Biological Models -- 7. Reaction Network Models as a Tool to Study Gene Regulation and Cell Signaling in Development and Diseases -- 8. Challenges for the Optimization of Drug Therapy in the Treatment of Cancer -- 9. Opportunities and Challenges Provided by Boolean Modelling of Cancer Signalling Pathways -- 10. Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria -- 11. Modelling Oxidative Stress Pathways -- 12. Computational Modeling in Virus Infections and Virtual Screening, Docking and Molecular Dynamics in Drug Design -- 13. Cellular Regulatory Network Modeling Applied to Breast Cancer.
Contained By:	Springer Nature eBook
標題:	Systems biology. -
電子資源:	https://doi.org/10.1007/978-3-030-51862-2
ISBN:	9783030518622

Networks in systems biology = applications for disease modeling /
Networks in systems biologyapplications for disease modeling /[electronic resource] :edited by Fabricio Alves Barbosa da Silva ... [et al.]. - Cham :Springer International Publishing :2020. - x, 377 p. :ill. (some col.), digital ;24 cm. - Computational biology,v.321568-2684 ;. - Computational biology ;v.32..

1. Network Medicine: Methods and Applications -- 2. Computational Tools to Compare Biological Networks -- 3. Functional Gene Networks and their Applications -- 4. A Review of Artificial Neural Networks for the Prediction of Essential Proteins -- 5. Transcriptograms: A Genome Wide Gene Expression Analysis Method -- 6. A Tutorial on Sobols' Global Sensitivity Analysis Applied to Biological Models -- 7. Reaction Network Models as a Tool to Study Gene Regulation and Cell Signaling in Development and Diseases -- 8. Challenges for the Optimization of Drug Therapy in the Treatment of Cancer -- 9. Opportunities and Challenges Provided by Boolean Modelling of Cancer Signalling Pathways -- 10. Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria -- 11. Modelling Oxidative Stress Pathways -- 12. Computational Modeling in Virus Infections and Virtual Screening, Docking and Molecular Dynamics in Drug Design -- 13. Cellular Regulatory Network Modeling Applied to Breast Cancer.

This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.

ISBN: 9783030518622

Standard No.: 10.1007/978-3-030-51862-2doiSubjects--Topical Terms:

905904
Systems biology.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Networks in systems biology = applications for disease modeling /
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520 $a This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.
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