除了看gene的表达量，还可以具体看它们的isoform的表达量

Jimmy

看到这个文章，有点意思：http://bmcgenomics.biomedcentral ... 6/s12864-016-2521-9
题目是:Identification of mRNA isoform switching in breast cancer
分析单一癌症，这样也好写文章。
首先是下载数据，你肯定会的咯
We systematically analyzed the isoform-level expression patterns and isoform switching events of 819 breast tumor and normal samples assayed by mRNA-seq from TCGA project.
然后，就是我们一直强调的编程基础功咯，我们论坛有这个练习题
On average, 2.2 isoforms per gene were detected and 67.5 % of detected genes (i.e. expressed) showed 1–2 isoforms only.
简单的一个编程，再看看correlation，就可以得到下面的结论，再好好把结果用英文写出来，一篇文章，就灌水成啦
While the majority of isoforms for a given gene were positively correlated with each other and the overall gene level, 470 pairs of isoforms displayed an inverse correlation suggesting a switching event.
Most of the isoform switching events were associated with molecular subtypes, including a Basal-like-associated switching in CTNND1. 88 genes showed switching independent of subtypes, among which the isoform pattern of PRICKLE1 was associated with a large genomic signature of biological significance.