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Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application;

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Analyzing Network Data in Biology and Medicine

The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective;

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Perl Programming for Medicine and Biology

and Biology, discusses and reviews biomedical data resources, data standards, data organization, medicolegal and ethical conduct for data;

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R For Medicine And Biology

, processing, sharing, and analyzing biomedical data. R for Medicine and Biology is a step-by-step guide through the use of the statistical;

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Biomolecular Networks

Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput;

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Recent Advances in Biological Network Analysis

, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data;

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Toward Precision Medicine

individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new;

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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation;

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Fundamentals Of Network Biology

, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks;

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Network Inference in Molecular Biology

-all algorithm for every data set. Network Inference in Molecular Biology examines the current techniques used by researchers, and;

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Dynamic Systems Biology Modeling and Simulation

using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for;

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Analyzing the Social Web

Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks;

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Introduction to Biological Networks

Networks provides a thorough introduction to genomics-inspired network biology for physical scientists and biologists involved in interdisciplinary;

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Introduction to Biological Networks

Networks provides a thorough introduction to genomics-inspired network biology for physical scientists and biologists involved in interdisciplinary;

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Genomic Signal Processing

crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models;

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Networks in Cell Biology

from key leaders in both network theory and modern cell biology, this book discusses the network science that is increasingly foundational for;

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Structural Analysis in the Social Sciences

methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network;

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Structural Analysis in the Social Sciences

methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network;

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Advances in Medicine & Biology

This continuing series gathers and presents original research results on the leading edge of medicine and biology. Each article has been;

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Systems Biology and Its Application in TCM Formulas Research

>Presents TCM formulas from perspectives of systems biology, basic chemical material groups, modern pharmacology and network biology Offers;

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Medical Bioinformatics and Biochemistry (Diabormatics)

of medical and life sciences. The development in genomic sequencing and in silico biology has provided the data needed to accomplish comparisons;

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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational;

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Learning Network Forensics

investigations. You will begin by getting an understanding of how to gather both physical and virtual evidence, intercepting and analyzing network data;

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Data Structures and Network Algorithms

problems in network optimization are covered in detail, including a development of the data structures they use and an analysis of their running;

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Network Security Through Data Analysis

analysis and visualization Detect unusual phenomena through Exploratory Data Analysis (EDA) Identify significant structures in networks with graph;

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Applied Bayesian Statistical Studies in Biology and Medicine

of biology and experimental medicine rely on techniques for processing of experimental data and for the evaluation of hypotheses. It is increasingly;

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Network Behavior Analysis

This book provides a comprehensive overview of network behavior analysis that mines Internet traffic data in order to extract, model, and;

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