Difference between revisions of "PCIT"
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Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application. | Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application. | ||
==System Variables== | ==System Variables== | ||
| − | * HPC_{{ | + | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory |
| − | * HPC_{{ | + | * HPC_{{uc:{{#var:app}}}}_BIN - executable directory |
<!--Configuration--> | <!--Configuration--> | ||
{{#if: {{#var: conf}}|==Configuration== | {{#if: {{#var: conf}}|==Configuration== | ||
Latest revision as of 20:19, 12 August 2022
Description
PCIT is an algorithm for the reconstruction of gene co-expression networks (GCN) that combines the concept partial correlation coefficient with information theory to identify significant gene to gene associations defining edges in the reconstruction of GCN.
Environment Modules
Run module spider pcit to find out what environment modules are available for this application.
System Variables
- HPC_PCIT_DIR - installation directory
- HPC_PCIT_BIN - executable directory
Citation
If you publish research that uses pcit you have to cite it as follows:
Antonio Reverter, Eva K. F. Chan; Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks, Bioinformatics, Volume 24, Issue 21, 1 November 2008, Pages 2491–2497, https://doi.org/10.1093/bioinformatics/btn482