Verificar estado da encomenda

Faça parte de uma comunidade de amantes de livros de todo o mundo e tenha acesso a uma série de benefícios. Crie uma conta gratuitamente

Correio DHL 7.99 € Correio DPD 4.49 € Ponto DPD 3.99 € Correio GLS 5.49 € Correio MRW 5.49 €

Contacto

Como comprar

Ajuda

A minha conta

▸ Vazio :-(

Statistical Bioinformatics

Name: Statistical Bioinformatics
Brand: John Wiley & Sons Inc
SKU: 01389568
Price: 131.76 EUR
Availability: InStock
Author: Jae Lee
ISBN: 9780471692720

For Biomedical and Life Science Researchers

Jae Lee

Língua

Inglês

Livro Capa mole

Código Libristo: 01389568

Editoras John Wiley & Sons Inc, março 2010

This practical introduction clearly presents the underlying statistical concepts and techniques crit... Descrição completa

Código Libristo: 01389568

318 b

131.76 €

50% de hipóteses Procuremos no mundo Quando vou receber o meu livro?

Política de devolução de 30 dias

Os clientes também compraram

trastorno neurotico es un modelo de sufrimiento existencial Moreno Elena Del Carmen

Capa mole

30.78 €

Lebensmittelbeschaffung vor, während und nach der russischen Revolution 1917-1922 aus Sicht Ernst Derendingers Roger Müller

Capa mole

12.75 €

Chouettes et hiboux de France et d'Europe (CD+LIVRET) Deroussen

CD digital

14.57 €

Obstaculos Mecanizacion Agricola Mexicana Jaime Cuahutemoc R. Negrete

Capa mole

19.64 €

Le chemin étroit vers les contrées du Nord Matsuo Bashô

Capa mole

13.26 €

Skrzat Gabriela Rzepecka-Wiess

Livro de capa dura

9.71 €

This practical introduction clearly presents the underlying statistical concepts and techniques critical for successful use of bioinformatics tools in biomedical research without requiring an advanced background in math/statistics.This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis.