Statistical Network Genetics: Evolutionary Game Theory in Action - Brossura

Brossura

ISBN 10: 0323988016 ISBN 13: 9780323988018

Casa editrice: Academic Pr, 2029

Riassunto

Statistical Network Genetics: Evolutionary Game Theory in Action offers an interdisciplinary integration of statistical genetics and evolutionary game theory using the latest data, codes and computational functions. While classic statistical genetics attempts to identify and map individual key genes, proteins or metabolites associated with complex traits, this book examines how entities interact with each other through this complex, yet well-orchestrated set of networks for mediating phenotypic variation. In addition, the book covers genetic and genomic networking across ecological, environmental and evolutionary factors.

Written by leading experts on game theory and statistical genetics, this book introduces elements from multiple disciplines, including community ecology, network theory and physics theory, tying them into statistical model examples. It provides a platform for previously disjointed ideas and concepts of evolutionary game theory and its role in statistical genetics. This is the ideal resource for evolutionary and computational biologists, especially those seeking a thorough and current understanding of the connection to statistical genetics.

• Examines and describes state-of-the-art approaches for maximizing statistical genetic research
• Provides usable computer codes for readers to practice statistical methods described in the chapters
• Features expert analysis of high-dimensional data for linking genotypes to phenotypes, emphasizing the role of omics data to understanding phenotypic formation

Su questo libro

Informazioni sull?autore

Dr. Rongling Wu is a Distinguished Professor and the Director of the Center for Statistical Genetics at The Pennsylvania State University. He continues to collaborate with his previous institution, the Beijing Forestry University. He received his PhD in forest genetics at the University of Washington in 1995. He was appointed as Assistant Professor of Statistics at the University of Florida in 2000 and awarded the University Foundation Professorship in 2007. He has developed functional mapping to reveal the genetic architecture of developmental trajectories and integrated this approach into the context of evo-devo research into evolutionary novelties. Recently, he has introduced game theory into complex-trait mapping, from which a systems evolutionary game network theory is proposed to strengthen and broaden the field of quantitative genetics. Dr. Wu’s work has been cited and highlighted by top journals.

Dalla quarta di copertina

Statistical Network Genetics: Evolutionary Game Theory in Action offers an interdisciplinary integration of statistical genetics and evolutionary game theory using the latest data, codes, and computational functions. While classic statistical genetics attempts to identify and map individual key genes, proteins, or metabolites associated with complex traits, this book examines how each entity interacts with each other through this complex, yet well-orchestrated, set of networks for mediating phenotypic variation.

Written by leading experts on game theory and statistical genetics, this book introduces elements from multiple disciplines, like community ecology, network theory, and physics theory, tying them in to statistical model examples. The book provides a platform for previously disjointed ideas and concepts of evolutionary game theory and its role in statistical genetics. It covers genetic and genomic networking across ecological, environmental, as well as evolutionary factors.

Statistical Network Genetics: Evolutionary Game Theory in Action is the ideal resource for evolutionary and computational biologists, especially those seeking a thorough and current understanding of the connection to statistical genetics.

Dettagli dell'edizione

• Editore: Academic Pr
• Data di pubblicazione: 2029
• Lingua: Inglese
• ISBN 10: 0323988016
• ISBN 13: 9780323988018
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 225
• Redattore: Wu Rongling
• Contatto del produttore: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; U.S.A.
• Persona responsabile: non disponibile