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The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics.

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.

SUBMITTER: Gianoulis TA 

PROVIDER: S-EPMC3129682 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics.

Gianoulis Tara A TA   Agarwal Ashish A   Snyder Michael M   Gerstein Mark B MB  

Genome biology 20110331 3

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. ...[more]