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GeneExpressionSignature : Computing pairwise distances between different biological states
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cao, Yang April, Xiaochen Bo |
| Copyright Year | 2013 |
| Abstract | The GeneExpressionSignature package utilizes gene expression profiles to measure the similarity between different biological states. It provides two algorithms for similarity measurement: the GSEA algorithm which is mentioned in [Iorio et al., 2010] and the PGSEA algorithm in PGSEA R package. A further description of the measurement methods based on gene expression signature can be found in Lamb[Lamb et al., 2006], Hu[Hu and Agarwal, 2009] and Iorio[Iorio et al., 2010]. This manual is a brief introduction to structure, functions and usage of GeneExpressionSignature package. It shows how the biological similarity is determined through a series of calculation steps and how that information can be used for further cluster analysis. The current version of GeneExpressionSignature can be used only with data coming from the same platform, examples are on the HG-U133A platform. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.bioconductor.org/packages/release/bioc/vignettes/GeneExpressionSignature/inst/doc/GeneExpressionSignature.pdf |
| Alternate Webpage(s) | http://www.bioconductor.org/packages/2.13/bioc/vignettes/GeneExpressionSignature/inst/doc/GeneExpressionSignature.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
