Sykacek P, Furlong R A, Micklem G
Department of Genetics, University of Cambridge, Cambridge, UK.
Bioinformatics. 2005 Nov 1;21(21):4069-70. doi: 10.1093/bioinformatics/bti663. Epub 2005 Sep 27.
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
用于微阵列分析的友好统计软件包（FSPMA）是一种旨在填补易用性和强大分析能力之间差距的工具。FSPMA是一个与平台无关的R软件包，无需计算机编程即可高效探索微阵列数据。分析基于一个混合模型方差分析库（YASMA），该库已得到扩展，以允许进行更灵活的比较以及其他有用操作，如k近邻插补和基于尖峰的归一化。处理过程由一个定义文件控制，该文件指定了从量化的微阵列数据得出分析结果所需的所有步骤。除了提供无需编程的分析外，定义文件还作为所有分析步骤的精确文档。
该库根据GPL 2许可提供，并且连同其他信息一起可在http://www.ccbi.cam.ac.uk/software/psyk/software.html#fspma上获取。
