http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102204509-B1

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3cf20948abcac064355cf0f70264a885
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B50-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B50-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B30-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-20
filingDate 2020-09-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2021-01-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e6d0a1a66a92abbc8ce7bf7447a1426f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3d4e7046a81911a8b089b0cb80866c19
publicationDate 2021-01-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-102204509-B1
titleOfInvention System for pathogenicity prediction of genomic mutation using machine learning
abstract The present invention learns the first fusion data in which genetically mutated protein sequence data and evolutionary conservation data are fused, and the second fusion data in which natural state protein sequence data and evolutionary conservation data are fused through an artificial neural network (ANN). Provides a system for predicting pathogenicity of genetic mutations using machine learning to determine whether genetic mutations are pathogenic.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022059886-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022245042-A1
priorityDate 2020-09-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419556976
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID866

Total number of triples: 25.