Bioconductor case studies
Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Biocon...
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| Principais autores: | , , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edição: | 1. |
| coleção: | Use R!
|
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bioconductor Case Studies, Texte imprimé, 9780387568737 • Bioconductor case studies, Florian Hahne, Wolfgang Huber, Robert Gentleman ... [et al.], New York, Springer, 2008, 1vol. (VI-283 p.), Use R!, 978-0-387-77239-4 |
Sumário:
- The ALL Dataset R and Bioconductor Introduction Processing Affymetrix Expression Data Two Color Arrays Fold Changes, Log Ratios, Background Correction, Shrinkage Estimation, and Variance Stabilization Easy Differential Expression Differential Expression Annotation and Metadata Supervised Machine Learning Unsupervised Machine Learning Using Graphs for Interactome Data Graph Layout Gene Set Enrichment Analysis Hypergeometric Testing Used for Gene Set Enrichment Analysis Solutions to Exercises.