| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_74d1f331f6a60a4039c8a10170a492fb |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B45-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B25-00 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-20 |
| filingDate |
2018-10-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_85cce1bd28d4401f9b7053f5275571cd
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6d64243fa1580890cb8802e66a04ed32
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9d81117c366efc19b32e341d7be6994a |
| publicationDate |
2019-04-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2019079647-A2 |
| titleOfInvention |
IA STATISTICS FOR DEEP LEARNING AND PROBABILISTIC PROGRAMMING, ADVANCED, IN BIOSCIENCES |
| abstract |
The invention relates to a statistical artificial intelligence for deep learning and probabilistic programming, advanced in the biosciences. In various embodiments, biological data of a population are read. These biological data include molecular characteristics of the population. A plurality of population characteristics are extracted from the biological data. The plurality of features is provided to a first trained classifier to determine a subset of the plurality of characteristics distinguishing the population. A plurality of genes associated with the subset of the plurality of features is determined. The plurality of genes is provided to a second trained classifier to determine a subset of the plurality of genes distinguishing the population. A dependency model is applied to the subset of the plurality of genes to determine at least one drug target. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-4001431-A4
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111304326-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112662763-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110577988-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110577988-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113436684-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110452989-A |
| priorityDate |
2017-10-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |