Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_eb9c6b40161bafe7bd55f0b4defcea04 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-158 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-106 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6886 |
filingDate |
2018-12-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_40eaa8e3ec557f41e89c8bc285e16909 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_15fac74e4e11c7e3dc2e63955ac917c2 |
publicationDate |
2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-11505831-B2 |
titleOfInvention |
Compositions and methods comprising digital signatures to predict response and resistance to targeted therapy and immunotherapy |
abstract |
The present invention relates to gene expression signatures that predict response and resistance to targeted therapy and immunotherapy. |
priorityDate |
2017-12-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |