http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102029197-B1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B25-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B25-00 |
| filingDate | 2017-10-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2019-10-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2019-10-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-102029197-B1 |
| titleOfInvention | A deep-learning based system for evaluating the RNA-guided nuclease activity using deep-learning |
| abstract | The present invention provides a system for predicting activity of an RNA-guided nuclease, a method for predicting the activity of an RNA-guided nuclease, a method for constructing the system, a method for predicting the activity of an RNA-guided nuclease using the system, And a computer readable recording medium having recorded thereon a program for executing the system and method by a computer. |
| priorityDate | 2017-10-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 42.