Codelink: an R package for analysis of GE healthcare gene expression bioarrays | Zendy

Diego Díez | Zendy; Rebeca Álvarez | Zendy; Ana Dopazo | Zendy

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Codelink: an R package for analysis of GE healthcare gene expression bioarrays

Author(s) -

Diego Díez,

Rebeca Álvarez,

Ana Dopazo

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm072

Subject(s) - bioconductor , computer science , r package , software , download , microarray analysis techniques , microarray databases , graphics , statistical analysis , strengths and weaknesses , gene chip analysis , software package , data mining , data science , dna microarray , operating system , gene expression , biology , statistics , programming language , gene , genetics , mathematics , philosophy , epistemology

Microarray-based expression profiles have become a standard methodology in any high-throughput analysis. Several commercial platforms are available, each with its strengths and weaknesses. The R platform for statistical analysis and graphics is a powerful environment for the analysis of microarray data, because it has many integrated statistical methods available as well as the specialized microarray analysis project Bioconductor. Many packages have been added in the last few years increasing the range of possible analysis. Here, we report the availability of a package for reading and analyzing data from GE Healthcare Gene Expression Bioarrays within the R environment.

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