http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-101806628-B1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C40B40-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-12 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C40B40-06 |
| filingDate | 2015-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2017-12-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2017-12-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-101806628-B1 |
| titleOfInvention | Method for constructing fused regression network and fused analysis system thereof |
| abstract | According to various embodiments of the present invention, an integrated analysis system is provided. According to one embodiment, a method for building an integrated regression network comprises applying at least a regression analysis algorithm to at least a portion of a set of data previously stored in a database to obtain a plurality of beta coefficient vectors for each regression analysis algorithm; Generating a plurality of inter-gene interaction networks using the obtained plurality of beta coefficient vectors; And generating an integrated regression analysis network based on the similar network fusion algorithm in the generated inter-gene interaction network. |
| priorityDate | 2015-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 19.