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Bioinformatics and Computational Biology Solutions Using R and Bioconductor Rafael Irizarry, Robert Gentleman, Sandrine Dudoit, Vincent Carey, Wolfgang Huber
Publisher: Springer

ŏ�表于6 年之前，作者：anning189; 来自Gongdsh 的最后回复; (没有相关主题). In Bioinformatics and computational biology solutions using R and Bioconductor. ƈ�者想把热图中的颜色换一下：. R Foundation for Statistical Computing. In Bioinformatics and Computational Biology Solutions using R and Bioconductor. Course Home Also introduces statistical concepts and tools necessary to interpret and critically evaluate the bioinformatics and computational biology literature. By contrast, the Infinium II design uses only a single probe per target CpG, which incorporates a 'degenerate' R-base at any underlying CpG sites in the probe body. À�分享】Bioinformatics and Computational Biology Solutions Using R and Bioconductor. SWAN is available in the minfi Bioconductor package. Bioinformatics and Computational Biology Solutions Using R and Bioconductor. The goals of the project include: fostering collaborative development These tools provide simple interfaces that allow for high-level experimentation in parallel computation by computing on functions and environments in concurrent R sessions on possibly heterogeneous machines. Smyth G: Limma: linear models for microarray data. (21 篇回复) (15 个人参与). The 3' end of each Infinium II probe is complementary to the .. By reducing technical variation within and between arrays. The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics.