Bioinformatics and computational biology solutions using R and bioconductor
Bioconductor is a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology. Bioconductor is rooted in the open source statistical computing environment R. This volume's...
Na minha lista:
| Autor principal: | |
|---|---|
| Outros Autores: | , , , , , , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2005. |
| Colecção: | Statistics for Biology and Health
|
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 477 p. Date de publication d'après le site du fournisseur Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Dynamical systems, VI, Singularity theory, I, ed. V. I. Arnol'd, 1993, Berlin [etc.], Springer, 1 vol. (245 p.), Encyclopaedia of mathematical sciences, 0-387-50583-0 • Bioinformatics and computational biology solutions using R and bioconductor, [edited by] Robert Gentleman, Vincent Carey, Wolfgang Huber... [et al.], 2005, New York (N. Y.), Springer, 1 vol. (xix-473 p.), Statistics for biology, health, 0-387-25146-4 • Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Texte imprimé, 9781493999590 |
Sumário:
- Preprocessing data from genomic experiments Preprocessing Overview Preprocessing High-density Oligonucleotide Arrays Quality Assessment of Affymetrix GeneChip Data Preprocessing Two-Color Spotted Arrays Cell-Based Assays SELDI-TOF Mass Spectrometry Protein Data Meta-data: biological annotation and visualization Meta-data Resources and Tools in Bioconductor Querying On-line Resources Interactive Outputs Visualizing Data Statistical analysis for genomic experiments Analysis Overview Distance Measures in DNA Microarray Data Analysis Cluster Analysis of Genomic Data Analysis of Differential Gene Expression Studies Multiple Testing Procedures: the multtest Package and Applications to Genomics Machine Learning Concepts and Tools for Statistical Genomics Ensemble Methods of Computational Inference Browser-based Affymetrix Analysis and Annotation Graphs and networks and Motivating Examples Graphs Bioconductor Software for Graphs Case Studies Using Graphs on Biological Data Case studies limma: Linear Models for Microarray Data Classification with Gene Expression Data From CEL Files to Annotated Lists of Interesting Genes

