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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2005.
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| Σειρά: | Statistics for Biology and Health,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
