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3100131010 of 37047 results
62363.
S4 generic functions needed by many other Bioconductor packages.
Description
(no translation yet)
Located in Package: r-bioc-biocgenerics
62364.
Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.
Description
(no translation yet)
Located in Package: r-bioc-biocgenerics
62365.
tool for analysis of Cufflinks RNA-Seq output
Summary
(no translation yet)
Located in Package: r-bioc-cummerbund
62366.
Allows for persistent storage, access, exploration, and manipulation of Cufflinks high-throughput sequencing data. In addition, provides numerous plotting functions for commonly used visualizations.
Description
(no translation yet)
Located in Package: r-bioc-cummerbund
62367.
Empirical analysis of digital gene expression data in R
Summary
(no translation yet)
Located in Package: r-bioc-edger
62368.
Bioconductor package for differential expression analysis of whole transcriptome sequencing (RNA-seq) and digital gene expression profiles with biological replication. It uses empirical Bayes estimation and exact tests based on the negative binomial distribution. It is also useful for differential signal analysis with other types of genome-scale count data.
Description
(no translation yet)
Located in Package: r-bioc-edger
62370.
This tool allows one to display very long data vectors in a space-efficient manner, by organising it along a 2D Hilbert curve. The user can then visually judge the large scale structure and distribution of features simultaenously with the rough shape and intensity of individual features.
Description
(no translation yet)
Located in Package: r-bioc-hilbertvis
62371.
In bioinformatics, a typical use case is ChIP-Chip and ChIP-Seq, or basically all the kinds of genomic data, that are conventionally displayed as quantitative track ("wiggle data") in genome browsers such as those provided by Ensembl or UCSC.
Description
(no translation yet)
Located in Package: r-bioc-hilbertvis
62372.
linear models for microarray data
Summary
(no translation yet)
Located in Package: r-bioc-limma
62373.
A Bioconductor package for the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression. The package includes pre-processing capabilities for two-colour spotted arrays. The differential expression methods apply to all array platforms and treat Affymetrix, single channel and two channel experiments in a unified way.
Description
(no translation yet)
Located in Package: r-bioc-limma
3100131010 of 37047 results

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