Unknown

Dataset Information

0

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

altmetric image

Publications

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]

Similar Datasets

| S-EPMC3526178 | biostudies-other
| S-EPMC3610154 | biostudies-literature
| S-EPMC6658713 | biostudies-literature
2014-06-10 | E-MTAB-2091 | biostudies-arrayexpress
| S-EPMC8555327 | biostudies-literature
| S-EPMC6581699 | biostudies-literature
| S-EPMC5822413 | biostudies-literature
| S-EPMC4912229 | biostudies-other
| S-EPMC3752786 | biostudies-literature
2014-03-01 | E-GEOD-44181 | biostudies-arrayexpress