Department of Genetics, 77 Ave. of Louis Pasteur, Harvard Medical School, Boston, MA 02115, USA.
Genome Biol. 2011;12(3):R32. doi: 10.1186/gb-2011-12-3-r32. Epub 2011 Mar 31.
Biological data is often tabular but finding statistically valid connections between entities in a sequence of tables can be problematic--for example, connecting particular entities in a drug property table to gene properties in a second table, using a third table associating genes with drugs. Here we present an approach (CRIT) to find connections such as these and show how it can be applied in a variety of genomic contexts including chemogenomics data.
生物数据通常是表格形式的，但在一系列表格中找到实体之间具有统计学意义的关联可能会有问题 - 例如，使用将基因与药物相关联的第三个表，将药物特性表中的特定实体连接到第二个表中的基因特性。在这里，我们提出了一种（CRIT）方法来找到这样的连接，并展示了它如何在包括化学生物组学数据在内的各种基因组环境中应用。
