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The Psychopathology of Functional Somatic Syndromes: Neurobiology and Illness Behavior in Chronic Fatigue Syndrome, Fibromyalgia, Gulf War Illness. Series on Malaise, Fatigue, and Debilitatio
The Psychopathology of Functional Somatic Syndromes: Neurobiology and Illness Behavior in Chronic Fatigue Syndrome, Fibromyalgia, Gulf War Illness. Series on Malaise, Fatigue, and Debilitatio

Learn how a patient’s behavior can factor into the prognosis of medically unexplainable illness!

The Psychopathology of Functional Somatic Syndromes examines the link between mental illness and physical syndromes that lack organic disease explanations, including chronic fatigue syndrome, fibromyalgia, premenstrual
...

Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving
Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating...

S+Functional Data Analysis User's Guide
S+Functional Data Analysis User's Guide
S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a...
Bayesian Networks in R: with Applications in Systems Biology (Use R!)
Bayesian Networks in R: with Applications in Systems Biology (Use R!)
While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...
Numerical Methods for the Life Scientist: Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB
Numerical Methods for the Life Scientist: Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB

Enzyme kinetics, binding kinetics and pharmacological dose-response curves are currently analyzed by a few standard methods. Some of these, like Michaelis-Menten enzyme kinetics, use plausible approximations, others, like Hill equations for dose-response curves, are outdated. Calculating realistic reaction schemes requires numerical...

Statistics for Censored Environmental Data Using Minitab and R
Statistics for Censored Environmental Data Using Minitab and R

Praise for the First Edition

" . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets."
—Vadose Zone Journal

Statistical Methods for...

Foundational and Applied Statistics for Biologists Using R
Foundational and Applied Statistics for Biologists Using R

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...

Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition
Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive.

Key Features

  • Grasp the skills needed to write efficient Hive queries to analyze the Big Data
  • Discover how Hive can coexist and work with other tools within the Hadoop...
Contemporary Optical Image Processing with MATLAB
Contemporary Optical Image Processing with MATLAB
This book serves two purposes: first to introduce readers to the concepts of geometrical optics, physical optics and techniques of optical imaging and image processing, and secondly to provide them with experience in modeling the theory and applications using the commonly used software tool MATLAB®. A comprehensively revised...
MRI of the Temporomandibular Joint: Correlation Between Imaging and Pathology
MRI of the Temporomandibular Joint: Correlation Between Imaging and Pathology

This book is the outcome of a fruitful, long-standing cooperation between expert radiologists and clinicians, and explains the most relevant features and technical requirements that are needed to optimally conduct and assess MR examinations for temporomandibular joint (TMJ) pathologies. TMJ conditions are increasingly gaining...

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