Home LiteratureArticle Details
PMID: 16188932 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

A friendly statistics package for microarray analysis.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 21 ·2005-11-01 ·Pages 4069-70

Sykacek P, Furlong RA, Micklem G

Abstract

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 library is available under GPL 2 license and, together with additional information, provided at http://www.ccbi.cam.ac.uk/software/psyk/software.html#fspma

MeSH Terms
Algorithms Data Interpretation, Statistical Gene Expression Profiling/methods Models, Genetic Models, Statistical Oligonucleotide Array Sequence Analysis/methods Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Sykacek P
Department of Genetics, University of Cambridge, Cambridge, UK. peter@sykacek.net
Furlong R A
Micklem G
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-11-01
Epub
2005-00-27
Pages
4069-70
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com