Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c5723c6c184f3dda12cb26382f2534f7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f12eff38dc26104c38a57949d9309226 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_13586b4dceffa8b8b2f73241fa7ae5fc |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2800-52 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-1039 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-84 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-4833 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B25-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-5035 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-574 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C10-00 |
classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61N5-10 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-84 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-574 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-483 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-48 |
filingDate |
2010-02-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2019-05-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d96f264d7e63714ef0c1f9a0a4b2ef8e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_300006febfb73ce1fd00ab4ffbf571bc |
publicationDate |
2019-05-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-10295540-B1 |
titleOfInvention |
Systems and methods for phenotypic classification using biological samples of different sample types |
abstract |
Systems and methods are provided for identifying a set of highly-correlated genes for use in classifying both a first type of biological sample and a second type of biological sample as to a phenotypic characterization, where the first type of biological sample and the second type of biological sample are a sample type selected from the group consisting of a fresh biological sample, a frozen biological sample, a biological sample that has been preserved with a non-crosslinking preservative, and a fixed biological sample that has been fixed with a crosslinking agent, and where the first type of biological sample and the second type of biological sample are sample types that are not the same sample type. The invention also relates to computer systems and methods for use in training a classifier using the highly-correlated genes, and using the trained classifier to classify biological samples that are of the same sample type as the first type of biological sample or the second type of biological sample. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021174958-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11681953-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11390903-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11527323-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11514289-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10689687-B2 |
priorityDate |
2009-02-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |