Mohlo by se vám také líbit

Více informací o knize Bayesian Inference for Gene Expression and Proteomics

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 159 bodů

Anotace knihy

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Bayesian Inference for Gene Expression and Proteomics
• Autor: Kim Anh Do
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 456
• EAN: 9781107636989
• ISBN: 1107636981
• ID: 01338554
• Nakladatelství: Cambridge University Press
• Hmotnost: 572 g
• Rozměry: 220 × 140 × 25 mm
• Datum vydání: 30. April 2012

Oblíbené z jiného soudku

---

---

---