A friendly statistics package for microarray analysis | Zendy

Peter Sykacek | Zendy; Rob Furlong | Zendy; Gos Micklem | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A friendly statistics package for microarray analysis

Author(s) -

Peter Sykacek,

Rob Furlong,

Gos Micklem

Publication year - 2005

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/bti663

Subject(s) - r package , computer science , statistics , microarray analysis techniques , mathematics , biology , genetics , gene , gene expression

The friendly statistics package for microarray analysis (FSPMA) is a tool that aims to fill the gap between simple to use and powerful analysis. FSPMA is a platform-independent R-package that allows efficient exploration of microarray data without the need for computer programming. Analysis is based on a mixed model ANOVA library (YASMA) that was extended to allow more flexible comparisons and other useful operations like k nearest neighbour imputing and spike-based normalization. Processing is controlled by a definition file that specifies all the steps necessary to derive analysis results from quantified microarray data. In addition to providing analysis without programming, the definition file also serves as exact documentation of all the analysis steps.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research