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Bayesian Networks in R: with Applications in Systems Biology (Use R!)

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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 by superimposing knowledge across distinct reductionist representations of these entities obtained from disparate sources. Such representations, while useful, may provide only an incomplete picture of the associations. This can be attributed to their dependence on prior knowledge and failure of the principle of superposition in general. Such representations may also be unhelpful in discovering novel undocumented associations. A more rigorous approach would be to identify associations from data measured simultaneously across the entities of interest from a given system. These data sets or digital signatures are quantized in time and amplitude and in turn may (dynamic) or may not (static) contain explicit temporal information. Symmetric measures such as correlation have been helpful in modeling direct associations as undirected graphs. However, it is well appreciated that the association between a given pair of entities may be indirect and often mediated through others.

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Child Neurology
Child Neurology

Revised to incorporate the latest advances in the neurosciences and clinical neurology, the Seventh Edition of this classic text provides practical, cost-effective problem-solving approaches to all diseases affecting the developing nervous system. In clinically relevant terms, the book explains how recent developments in molecular...

Rockwood and Green's Fractures in Adults: Rockwood, Green, and Wilkins' Fractures
Rockwood and Green's Fractures in Adults: Rockwood, Green, and Wilkins' Fractures

Established worldwide as the "gold-standard" two-volume reference on fractures, Rockwood and Green's Fractures in Adults is now in its thoroughly revised, updated Sixth Edition. More than 80 of the world's foremost authorities provide comprehensive coverage of all bone and joint injuries, thoroughly discuss...

Moffet's Pediatric Infectious Diseases: A Problem-Oriented Approach
Moffet's Pediatric Infectious Diseases: A Problem-Oriented Approach

Unlike many texts, which are organized by disease or pathogen, this unique resource presents a problem-oriented approach to the diagnosis and management of infectious diseases in children.

All chapters are organized by anatomic syndrome and guide you through each step in the management process from classifying the...


Practical Immunology
Practical Immunology

Practical Immunology is a basic text aimed at immunology students and researchers at all levels who need a comprehensive overview of the methodology of immunology. The rapid and startling innovations in immunology over the past two decades have their root in sound experimental practice and it has always been the aim of this book to...

Antisense Drug Technology: Principles, Strategies, and Applications, Second Edition
Antisense Drug Technology: Principles, Strategies, and Applications, Second Edition

Extensively revised and updated, Antisense Drug Technology: Principles, Strategies, and Applications, Second Edition reflects the logarithmic progress made in the past four years of oligonucleotide-based therapies, and, in particular, antisense therapeutics and research. Interpreting lessons learned from the clinical trials of first...

Nutrition and Cancer Prevention (Nutrition and Disease Prevention)
Nutrition and Cancer Prevention (Nutrition and Disease Prevention)

Epidemiological studies have estimated that approximately 35 percent of cancers are potentially avoidable by nutritional modification. These modifications include strategies such as caloric restriction and limitation of specific macro-nutrient groups. However, recent research indicates that what you eat may well be just as important as what...

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