http://rdf.ncbi.nlm.nih.gov/pubchem/patent/AU-2018210552-A1
Outgoing Links
Predicate | Object |
---|---|
assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_332048e0ac324b4a07af2b5454676a6b |
classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-158 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-178 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6883 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-68 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61N5-10 |
filingDate | 2018-01-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a42183dcf4007727e5c4c0896baee6bc |
publicationDate | 2019-08-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | AU-2018210552-A1 |
titleOfInvention | Methods for identifying and using small RNA predictors |
abstract | The invention provides a method for identifying or detecting small RNA (sRNA) predictors of a disease or a condition. The method comprises identifying one or more sRNA sequences that are present in one or more samples of an experimental cohort, and which are not present across a comparator cohort; and optionally identifying one or more sRNA sequences that are present in one or more samples of a comparator cohort, and which are not present across an experimental cohort. In contrast to identifying dysregulated non-coding RNAs (such as miRs that are up- or down-regulated), the invention identifies sRNAs that are binary predictors, that is, present in one cohort (e.g., an experimental cohort) and not another (e.g., a comparator cohort). Further, by quantifying reads for individual sequences (e.g., iso-miRs), without consolidating reads to annotated reference sequences, the invention unlocks the diagnostic utility of miRs and other sRNAs. |
priorityDate | 2017-01-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 281.