Bioconductor’s SPIA package
نویسندگان
چکیده
This package implements the Signaling Pathway Impact Analysis (SPIA) algorithm described in Tarca et al. (2009), Khatri et al. (2007) and Draghici et al. (2007). SPIA uses the information from a set of differentially expressed genes and their fold changes, as well as pathways topology in order to assess the significance of the pathways in the condition under the study. The current version of SPIA algorithm includes out-of-date KEGG signaling pathway data for hsa and mmu organisms for illustration purposes. However, the current version of the package includes functionality to generate the required up-to-date processed pathway data from KEGG xml (KGML) files that licensed users can download for the organism of interest from KEGG’s ftp site. Also, these files can be downloaded individualy using the Dowload KEGML button from each pathway’s web page. The pathways that will be processed and analyzed for a given organism are those i) containing at least one relation between genes/proteins considered by SPIA, and ii) having no reactions. The outdated KEGG data that was preprocessed for SPIA analysis and is included for the hsa and mmu organisms was downloaded from KEGG’s website on: 09/07/2012. For a list of changes in SPIA compared to previous versions see the last section in this document.
منابع مشابه
Bioconductor’s snm package
3 Basic Usage 3 3.1 Input . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3.2 Output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.3 Single Channel Normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.4 Double Channel Normalization . . . . . . . . . . . . . . . . . . . . . . . . . ...
متن کاملNormalization: Bioconductor’s marray package
5 Normalization of Swirl zebrafish microarray data 5 5.1 Using simple function maNorm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 5.2 Using simple function maNormScale . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 5.3 Using main function maNormMain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 5.4 Plots . . . . . . . . . . . . . . . . . . . . . . . ...
متن کاملBioconductor’s multtest package
1 Overview The multtest package contains a collection of functions for multiple hypothesis testing. These functions can be used to identify differentially expressed genes in microarray experiments, i.e., genes whose expression levels are associated with a response or covariate of interest. Introduction to multiple testing. This document provides a tutorial for using the multtest package. For a ...
متن کاملUsing Bioconductor’s Annotation Libraries
Bioconductor’s annotation data libraries are constructed by assembling data collected from various public data repositories using Bioconductor’s AnnotationDbi package and distributed as regular R libraries that can be installed and loaded in the same way an R library is installed/loaded. Each annotation library is an independent unit that can be used alone or in conjunction with other annotatio...
متن کاملBioconductor’s marray package: Plotting component
1 Overview This document provides a detailed discussion of the plotting functions in marray package, which is a packages for diagnostic plots of two-color spotted microarray data. This docuement provides functions for diagnostic plots of microarray spot statistics, such as boxplots, scatter–plots, and spatial color images. Examination of diagnostic plots of intensity data is important in order ...
متن کامل