Computational Systems Biology in Medicine and Biotechnology
portes grátis
Computational Systems Biology in Medicine and Biotechnology
Methods and Protocols
Aon, Miguel A.; Cortassa, Sonia
Springer-Verlag New York Inc.
05/2022
493
Dura
Inglês
9781071618301
15 a 20 dias
1150
Descrição não disponível.
Computational Systems Biology and Artificial Intelligence.- Bioinformatic Analysis of CircRNA from RNA-seq Datasets.- Single-Cell Analysis of the Transcriptome and Epigenome.- Automatic Assignment, Quantitation, and Biological Annotation of Redox Proteomics Datasets with ProteoSushi.- A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling.- MITODYN: An Open Source Software for Quantitative Modeling of Mitochondrial and Cellular Energy Metabolic Flux Dynamics in Health and Disease.- Integrated Multi-Omics, Bioinformatics, and Computational Modeling Approaches to Central Metabolism in Organs.- Understanding the Human Aging Proteome using Epidemiological Models.- Unraveling Pathways of Health and Lifespan with Integrated Multi-Omics Approaches.- UT-Heart: A Finite Element Model Designed for the Multi-Scale and Multi-Physics Integration of Our Knowledge on the Human Heart.- Multiscale Modeling of the Mitochondrial Origin of Cardiac Reentrant and Fibrillatory Arrhythmias.- Automated Quantification and Network Analysis of Redox Dynamics in Neuronal Mitochondria.- Computational Approaches and Tools as Applied to the Study of Rhythms and Chaos in Biology.- Computational Systems Biology of Morphogenesis.- Agent-Based Modeling of Complex Molecular Systems.- Metabolic Modeling of Wine Fermentation at Genome Scales.- Modeling Approaches to Microbial Metabolism.
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circadian metabolism;Synthetic Biology;Artificial Intelligence;Machine Learning;protein-protein interaction
Computational Systems Biology and Artificial Intelligence.- Bioinformatic Analysis of CircRNA from RNA-seq Datasets.- Single-Cell Analysis of the Transcriptome and Epigenome.- Automatic Assignment, Quantitation, and Biological Annotation of Redox Proteomics Datasets with ProteoSushi.- A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling.- MITODYN: An Open Source Software for Quantitative Modeling of Mitochondrial and Cellular Energy Metabolic Flux Dynamics in Health and Disease.- Integrated Multi-Omics, Bioinformatics, and Computational Modeling Approaches to Central Metabolism in Organs.- Understanding the Human Aging Proteome using Epidemiological Models.- Unraveling Pathways of Health and Lifespan with Integrated Multi-Omics Approaches.- UT-Heart: A Finite Element Model Designed for the Multi-Scale and Multi-Physics Integration of Our Knowledge on the Human Heart.- Multiscale Modeling of the Mitochondrial Origin of Cardiac Reentrant and Fibrillatory Arrhythmias.- Automated Quantification and Network Analysis of Redox Dynamics in Neuronal Mitochondria.- Computational Approaches and Tools as Applied to the Study of Rhythms and Chaos in Biology.- Computational Systems Biology of Morphogenesis.- Agent-Based Modeling of Complex Molecular Systems.- Metabolic Modeling of Wine Fermentation at Genome Scales.- Modeling Approaches to Microbial Metabolism.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
