http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114300036-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_432d49e6f209dca7b49cccb7ae17ed22 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B5-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B35-20 |
| filingDate | 2021-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b52491382a9e512d034954334a67fdca http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2f259578b72fa2ac87d08664e4e7a1d4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_af6b0b18e26730ae99ce7145ca52e432 |
| publicationDate | 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114300036-A |
| titleOfInvention | Genetic variation pathogenicity prediction method and device, storage medium and computer equipment |
| abstract | According to the genetic variation pathogenicity prediction method, the genetic variation pathogenicity prediction device, the storage medium and the computer equipment, firstly, characteristic data corresponding to a genetic variation locus to be predicted are determined, then, the characteristic data are predicted through a genetic variation pathogenicity prediction model, and a genetic variation pathogenicity prediction result is obtained; the genetic variation pathogenicity prediction model is obtained by integrating a plurality of target prediction submodels designed according to different pathogenicity grade classifications, and each target prediction submodel is trained by taking the characteristic data of a training genetic variation locus of the corresponding pathogenicity grade classification as a training sample and taking the pathogenicity grade classification of the training genetic variation locus as a sample label, and the training sample contains all mutation types. |
| priorityDate | 2021-12-29-04:00^^<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/SID419526450 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID1051 |
Total number of triples: 18.