{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T07:52:59Z","timestamp":1767858779788,"version":"3.49.0"},"reference-count":7,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"abstract":"Abstract<\/jats:title>\n Background<\/jats:title>\n Analysis of variance is a powerful approach to identify differentially expressed genes in a complex experimental design for microarray and macroarray data. The advantage of the anova model is the possibility to evaluate multiple sources of variation in an experiment.<\/jats:p>\n <\/jats:sec>\n Results<\/jats:title>\n AnovArray is a package implementing ANOVA for gene expression data using SAS\u00ae<\/jats:sup> statistical software. The originality of the package is 1) to quantify the different sources of variation on all genes together, 2) to provide a quality control of the model, 3) to propose two models for a gene's variance estimation and to perform a correction for multiple comparisons.<\/jats:p>\n <\/jats:sec>\n Conclusion<\/jats:title>\n AnovArray is freely available at http:\/\/www-mig.jouy.inra.fr\/stat\/AnovArray<\/jats:ext-link> and requires only SAS\u00ae<\/jats:sup> statistical software.<\/jats:p>\n <\/jats:sec>","DOI":"10.1186\/1471-2105-6-150","type":"journal-article","created":{"date-parts":[[2005,6,16]],"date-time":"2005-06-16T18:13:38Z","timestamp":1118945618000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["AnovArray: a set of SAS macros for the analysis of variance of gene expression data"],"prefix":"10.1186","volume":"6","author":[{"given":"Christelle","family":"Hennequet-Antier","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H\u00e9l\u00e8ne","family":"Chiapello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karine","family":"Piot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S\u00e9verine","family":"Degrelle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isabelle","family":"Hue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Paul","family":"Renard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fran\u00e7ois","family":"Rodolphe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"St\u00e9phane","family":"Robin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,6,16]]},"reference":[{"key":"475_CR1","volume-title":"Journal of Computational Biology","author":"M Kerr","year":"2000","unstructured":"Kerr M, Martin M, Churchill G: Analysis of Variance for Gene Expression Microarray Data. Journal of Computational Biology 2000."},{"key":"475_CR2","volume-title":"Genome Biology","author":"A Sekowska","year":"2001","unstructured":"Sekowska A, Robin S, Daudin J, H\u00e9naut A, Danchin A: Extracting biological information from DNA arrays: an unexpected link between arginine and methionine metabolism in Bacillus subtilis . Genome Biology 2001."},{"key":"475_CR3","first-page":"155","volume":"7","author":"S Draghici","year":"2003","unstructured":"Draghici S: Data Analysis Tools for DNA Microarrays, CHAPMAN & HALL\/CRC. 2003, 7: 155\u2013187.","journal-title":"Data Analysis Tools for DNA Microarrays, CHAPMAN & HALL\/CRC"},{"key":"475_CR4","unstructured":"library YASMA[http:\/\/people.cryst.bbk.ac.uk\/~wernisch\/yasma.html]"},{"key":"475_CR5","unstructured":"MAANOVA software[http:\/\/www.jax.org\/staff\/churchill\/labsite\/software\/anova]"},{"key":"475_CR6","volume-title":"Bioinformatics","author":"G Didier","year":"2002","unstructured":"Didier G, Br\u00e9zellec P, Remy E, H\u00e9naut A: GeneANOVA-gene expression analysis of variance. Bioinformatics 2002."},{"key":"475_CR7","volume-title":"Journal of The Royal Statistical Society B","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y: Controlling the false discovery rate: A pratical and powerful approach to multiple testing. Journal of The Royal Statistical Society B 1995."}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-6-150.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T17:45:45Z","timestamp":1706809545000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-6-150"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6,16]]},"references-count":7,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2005,12]]}},"alternative-id":["475"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-6-150","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,6,16]]},"assertion":[{"value":"18 January 2005","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 June 2005","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 June 2005","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"150"}}