| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7007d611c0f8270cf7fa957d3afacde3 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-154
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-156 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B10-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B35-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B45-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-00
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/G16B25-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-20 |
| filingDate |
2018-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_90a457454653febed307aa086a19923d |
| publicationDate |
2019-11-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2019348148-A1 |
| titleOfInvention |
Algorithm to evaluate efficacy of detecting cellular variants in a heterogeneous cell population |
| abstract |
Somatic mutations are associated with cancer progression and treatment using targeted therapies. Somatic mutations are not inherited and could be present at low concentrations in biopsy samples. Hence, there is a need for more sensitive assays to detect these changes in the presence of heterogeneous cell populations. The efficacy of such detection is determined by two factors; the ability to detect a minimum number of copies of the target mutation in the sample (Lower limit of detection), and the ratio of target mutation to that of wild-type in the sample (Tumor content). A new algorithm Detection Index (DI) is formulated to evaluate the efficacy of detection for a molecular testing method. |
| priorityDate |
2018-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |