Systems Biology

Author:   Mariano Bizzarri
Publisher:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2024
Volume:   2745
ISBN:  

9781071635766


Pages:   256
Publication Date:   08 December 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Systems Biology


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Author:   Mariano Bizzarri
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2024
Volume:   2745
Weight:   0.714kg
ISBN:  

9781071635766


ISBN 10:   107163576
Pages:   256
Publication Date:   08 December 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Identifying Key In Silico Knockout for Enhancement of Limonene Yield through Dynamic Metabolic Modelling.- The Search for System’s Parameters: A Statistical and Dynamical Description from Complex Network Analysis.- Untargeted Analysis of Short-Chain Peptides in Urine Samples Short Peptides Analysis.- Metastasis Models: Thermodynamics and Complexity.- Metabolomics: Challenges and Opportunities in Systems Biology Studies.- Optical Estimation of Bioelectric Patterns in Living Embryos.- Mathematical Modeling in the Study of Organisms and Their Parts.- Systems Biology Modelling of Cancer Non-Linear Dynamics.- From Cell States to Cell Fates: Control of Cell State Transitions.- Understanding Cell Differentiation through Single-Cell Approaches: Conceptual Challenges of the Systemic Approach.- Modelling Mammary Organogenesis from Biological First Principles: A Systems Biology Approach.- Systems Biology and Inborn Error of Metabolism: Analytical Strategy in Investigating Different Biochemical/Genetic Parameters.- Systems Biology Approach in Investigating Epithelial-Mesenchymal Transition (EMT).- An Enhanced Quantitative Reverse Transcription-PCR Approach for Measuring Circulating MicroRNAs.- Systems Biology Approaches to Understanding COVID-19 Spread in the Population.

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