Name
Abstract | ||
|---|---|---|
Last generations of Single Nucleotide Polymorphism (SNP) arrays allow to study copy-number variations in addition to genotyping measures.MPAgenomics, standing for multi-patient analysis (MPA) of genomic markers, is an R-package devoted to: (i) efficient segmentation and (ii) selection of genomic markers from multi-patient copy number and SNP data profiles. It provides wrappers from commonly used packages to streamline their repeated (sometimes difficult) manipulation, offering an easy-to-use pipeline for beginners in R.The segmentation of successive multiple profiles (finding losses and gains) is performed with an automatic choice of parameters involved in the wrapped packages. Considering multiple profiles in the same time, MPAgenomics wraps efficient penalized regression methods to select relevant markers associated with a given outcome.MPAgenomics provides an easy tool to analyze data from SNP arrays in R. The R-package MPAgenomics is available on CRAN. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1186/s12859-014-0394-y | BMC Bioinformatics |
Keywords | Field | DocType |
SNP arrays,Segmentation of genomic data,Marker selection,Multi-patient analysis,R package | Data mining,Normalization (statistics),Biology,Regression,SNP array,Segmentation,Software,Bioinformatics,Genetics,R package | Journal |
Volume | Issue | ISSN |
15 | 394 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quentin Grimonprez | 1 | 0 | 0.34 |
| Alain Celisse | 2 | 34 | 2.82 |
| Samuel Blanck | 3 | 0 | 0.34 |
| Meyling Cheok | 4 | 0 | 0.34 |
| Martin Figeac | 5 | 21 | 2.10 |
| Guillemette Marot | 6 | 1 | 0.71 |