Networks in Systems Biology Book by Nicolas Carels
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Networks in Systems Biology

Networks in Systems Biology


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International Edition


About the Book

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.
About the Author:

Dr. Fabrício Alves Barbosa da Silva is a Public Health Researcher in the Scientific Computing Program (PROCC) at the Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil. His other publications include the Springer title Theoretical and Applied Aspects of Systems Biology (with Dr. Carels).

Dr. Nicolas Carels is a Titular Researcher in the Centre for Technological Development in Health (CDTS) at FIOCRUZ.

Dr. Marcelo Trindade dos Santos is a Full Technologist at the Department of Computational Modeling, National Laboratory of Scientific Computing (LNCC), Petrópolis, Brazil.

Dr. Francisco José Pereira Lopes is an Associate Professor in the Graduate Program in Nanobiosystems at the Federal University of Rio de Janeiro (UFRJ), Duque de Caxias, Brazil.


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Product Details
  • ISBN-13: 9783030518615
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 377
  • Series Title: Computational Biology
  • Sub Title: Applications for Disease Modeling
  • Width: 156 mm
  • ISBN-10: 3030518612
  • Publisher Date: 26 Nov 2020
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 22 mm
  • Weight: 766 gr


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