the crit framework for identifying cross patterns in systems biology and application to chemogenomics的暴击框架识别交叉chemogenomics模式在系统生物学和应用程序.pdfVIP

Gianoulis et al. Genome Biology 2011, 12:R32 /2011/12/3/R32 METHOD Open Access The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics Tara A Gianoulis 1,2, Ashish Agarwal3,4, Michael Snyder5 and Mark B Gerstein3,4,6* Abstract 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. Background obvious way to correlate two differently indexed objects. Understanding the relationship between two or more To better illustrate these differences, in Figure 1, we are variables is a driving motivation of many biological given three pieces of information: the properties of a set questions. The past several decades has seen a rapid of drugs, the properties of a set of proteins, and which increase in our ability to discern such relationships at drugs targeted which proteins. Our goal is to determine multiple levels from molecular to cellular to whole if there are any properties of drugs that are related to populations. However, our ability to understand the any property of the protein target. As a test query, in relationships between different scales and different types Figure 1b, we narrow our question to Which types of of data is still limited [1].