Network Biology
Download Network Biology full books in PDF, epub, and Kindle. Read online free Network Biology ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Networks of Networks in Biology
Author | : Narsis A. Kiani,David Gomez-Cabrero,Ginestra Bianconi |
Publsiher | : Cambridge University Press |
Total Pages | : 215 |
Release | : 2021-04 |
Genre | : Computers |
ISBN | : 9781108428873 |
Download Networks of Networks in Biology Book in PDF, Epub and Kindle
Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.
Weighted Network Analysis
Author | : Steve Horvath |
Publsiher | : Springer Science & Business Media |
Total Pages | : 433 |
Release | : 2011-04-30 |
Genre | : Science |
ISBN | : 9781441988195 |
Download Weighted Network Analysis Book in PDF, Epub and Kindle
High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.
Fundamentals Of Network Biology
Author | : Zhang Wenjun |
Publsiher | : World Scientific |
Total Pages | : 568 |
Release | : 2018-05-16 |
Genre | : Science |
ISBN | : 9781786345103 |
Download Fundamentals Of Network Biology Book in PDF, Epub and Kindle
As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more. Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science. Contents: Mathematical Fundamentals: Fundamentals of Graph TheoryGraph AlgorithmsFundamentals of Network TheoryOther FundamentalsCrucial Nodes/Subnetworks/Modules, Network Types, and Structural Comparison: Identification of Crucial Nodes and Subnetworks/ModulesDetection of Network TypesComparison of Network StructureNetwork Dynamics, Evolution, Simulation and Control: Network DynamicsNetwork Robustness and Sensitivity AnalysisNetwork ControlNetwork EvolutionCellular AutomataSelf-OrganizationAgent-based ModelingFlow Analysis: Flow/Flux AnalysisLink and Node Prediction: Link Prediction: Sampling-based MethodsLink Prediction: Structure- and Perturbation-based MethodsLink Prediction: Node-Similarity-based MethodsNode PredictionNetwork Construction: Construction of Biological NetworksPharmacological and Toxicological Networks: Network Pharmacology and ToxicologyEcological Networks: Food WebsMicroscopic Networks: Molecular and Cellular NetworksSocial Networks: Social Network AnalysisSoftware: Software for Network AnalysisBig Data Analytics: Big Data Analytics for Network Biology Readership: Advanced undergraduates and graduate students and researchers in biology, ecology, pharmacology, applied mathematics, computational science, etc. Keywords: Network Biology;Network Analysis;Food Webs;Molecular Networks;Social Networks;Network Pharmacology;Link Prediction;Network Dynamics;Big Data Analytics;Software;Models;Algorithms;Nodes;LinksReview:0
Network Biology
Author | : Gerard Cagney,Andrew Emili |
Publsiher | : Humana Press |
Total Pages | : 0 |
Release | : 2011-09-28 |
Genre | : Science |
ISBN | : 1617792756 |
Download Network Biology Book in PDF, Epub and Kindle
While extremely large datasets describing gene sequences, mRNA transcripts, protein abundance, and metabolite concentrations are increasingly commonplace, these represent only starting ‘parts lists’ that are usually insufficient to unlock mechanistic insights on their own right. Fortunately, as Network Biology: Methods and Applications examines, concepts emerging from the study of biological entities such as networks (e.g. functional interactions linking genes, proteins, metabolites, etc.) suggest that order rather than chaos prevails, with such principles as modular and hierarchical organization, reactive information-driven causal-response behaviours, systems robustness, co-evolution, and self-organization guiding the way. This volume presents detailed, practical descriptions of the experimental and computational approaches currently prevalent in network biology as written by practiced experts in the field. Written in the highly successful Methods in Molecular BiologyTM series format, relevant chapters contain introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and accessible, Network Biology: Methods and Applications provides an ensemble of procedures that will be of great value to a broad assortment of readers, ranging from graduate students to seasoned professionals looking to polish their skill sets.
Introduction to Biological Networks
Author | : Alpan Raval,Animesh Ray |
Publsiher | : CRC Press |
Total Pages | : 329 |
Release | : 2016-04-19 |
Genre | : Computers |
ISBN | : 9781420010367 |
Download Introduction to Biological Networks Book in PDF, Epub and Kindle
The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network bi
Networks in Cell Biology
Author | : Mark Buchanan,Guido Caldarelli,Paolo De Los Rios,Francesco Rao,Michele Vendruscolo |
Publsiher | : Cambridge University Press |
Total Pages | : 282 |
Release | : 2010-05-13 |
Genre | : Science |
ISBN | : 9780521882736 |
Download Networks in Cell Biology Book in PDF, Epub and Kindle
Key introductory text for graduate students and researchers in physics, biology and biochemistry.
Analyzing Network Data in Biology and Medicine
Author | : Nataša Pržulj |
Publsiher | : Cambridge University Press |
Total Pages | : 647 |
Release | : 2019-03-28 |
Genre | : Language Arts & Disciplines |
ISBN | : 9781108432238 |
Download Analyzing Network Data in Biology and Medicine Book in PDF, Epub and Kindle
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
Systems Biology for Signaling Networks
Author | : Sangdun Choi |
Publsiher | : Springer Science & Business Media |
Total Pages | : 900 |
Release | : 2010-08-09 |
Genre | : Science |
ISBN | : 9781441957979 |
Download Systems Biology for Signaling Networks Book in PDF, Epub and Kindle
System Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc. not only to address key questions that are not answerable by individual fields alone, but also to help in our understanding of the complexities of biological systems. Whole genome expression studies have provided us the means of studying the expression of thousands of genes under a particular condition and this technique had been widely used to find out the role of key macromolecules that are involved in biological signaling pathways. However, making sense of the underlying complexity is only possible if we interconnect various signaling pathways into human and computer readable network maps. These maps can then be used to classify and study individual components involved in a particular phenomenon. Apart from transcriptomics, several individual gene studies have resulted in adding to our knowledge of key components that are involved in a signaling pathway. It therefore becomes imperative to take into account of these studies also, while constructing our network maps to highlight the interconnectedness of the entire signaling pathways and the role of that particular individual protein in the pathway. This collection of articles will contain a collection of pioneering work done by scientists working in regulatory signaling networks and the use of large scale gene expression and omics data. The distinctive features of this book would be: Act a single source of information to understand the various components of different signaling network (roadmap of biochemical pathways, the nature of a molecule of interest in a particular pathway, etc.), Serve as a platform to highlight the key findings in this highly volatile and evolving field, and Provide answers to various techniques both related to microarray and cell signaling to the readers.