Finding Pathways
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Finding Pathways
Author: Nicholas Weller
language: en
Publisher: Cambridge University Press
Release Date: 2014-07-03
This book introduces 'pathway analysis', a method to combine large and small-N research techniques and to aid understanding of causal mechanisms.
Disease Pathways
Disease Pathways: An Atlas of Human Disease Signaling Pathways is designed to fill a void of illustrated reviews about the cellular mechanisms of human diseases. It covers 42 of the most common non-oncologic diseases and illustrates the connections between the molecular causes of the disease and its symptoms. This resource provides readers with detailed information about the disease molecular pathways, while keeping the presentation simple. Pathway models that aggregate the knowledge about protein–protein interactions have become indispensable tools in many areas of molecular biology, pharmacology, and medicine. In addition to disease pathways, the book includes a comprehensive overview of molecular signaling biology and application of pathway models in the analysis of big data for drug discovery and personalized medicine. This is a must-have reference for general biologists, biochemists, students, medical workers, and everyone interested in the cellular and molecular mechanisms of human disease. - Over 145 full-color illustrations of the molecular and cellular cascades underlying the disease pathology. - Disease pathways are based on computational models from Elsevier's Disease Pathway Collection, published for the first time outside of Pathway Studio® commercial software. - Each relationship on the pathway models is supported by references to scientific articles and can be examined at freely available online resources.
Finding Pathways
Author: Nicholas Weller
language: en
Publisher: Cambridge University Press
Release Date: 2014-07-03
Social scientists have identified a need to move beyond the analysis of correlation among variables to the study of causal mechanisms that link them. Nicholas Weller and Jeb Barnes propose that a solution lies in 'pathway analysis', the use of case studies to explore the causal links between related variables. This book focuses on how the small-N component of multi-method research can meaningfully contribute and add value to the study of causal mechanisms. The authors present both an extended rationale for the unique role that case studies can play in causal mechanism research, and a detailed view of the types of knowledge that case studies should try to generate and how to leverage existing large-N data to guide the case selection process. The authors explain how to use their approach both to select cases and to provide context on previously studied cases.