Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America.
PLoS One. 2011;6(10):e25445. doi: 10.1371/journal.pone.0025445. Epub 2011 Oct 14.
attract is a knowledge-driven analytical approach for identifying and annotating the gene-sets that best discriminate between cell phenotypes. attract finds distinguishing patterns within pathways, decomposes pathways into meta-genes representative of these patterns, and then generates synexpression groups of highly correlated genes from the entire transcriptome dataset. attract can be applied to a wide range of biological systems and is freely available as a Bioconductor package and has been incorporated into the MeV software system.
attract 是一种知识驱动的分析方法,用于识别和注释最佳区分细胞表型的基因集。attract 在途径内找到区分模式,将途径分解为代表这些模式的元基因,然后从整个转录组数据集生成高度相关基因的共表达群。attract 可应用于广泛的生物系统,并且作为 Bioconductor 包免费提供,并已被纳入 MeV 软件系统。