http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102110262-B1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B5-00 |
| filingDate | 2018-02-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-102110262-B1 |
| titleOfInvention | Sample data analysis method based on genomic module network |
| abstract | A method for analyzing sample data based on a genome module network includes: a computer device classifying a plurality of genes constituting the genome of the specific tissue into a plurality of genome modules based on entropy using gene expression data of the specific tissue, and the computer device Acquiring first gene expression data for normal tissue with the same tissue as the specific tissue and second gene expression data for target tissue to be analyzed with the same tissue as the specific tissue and the computer device having the first gene expression In the data, the expression data for genes belonging to all of the plurality of genome modules and the expression data for genes belonging to the plurality of genome modules from the second gene expression data are used to determine the degree of variation of the target tissue compared to the normal tissue. Includes steps to decide The. The entropy represents a correlation between at least two genes among the plurality of genes based on the probability of the expression state of the gene. |
| priorityDate | 2018-02-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 19.