Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_73e0d5808f34f512649e277bd216a344 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12N15-1093 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12N15-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H70-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B30-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-20 |
filingDate |
2019-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4f4656e380e58fdf67eee2267a8ea4e6 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ddf486129fbbcb7bfba894577d2a40dc http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4bd2a9b494c3ac3bf57b00399218927c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4d317de3747054556bfee7885ccf668f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_67998e8a3d38d5fce6e3b1bc4a7dff75 |
publicationDate |
2023-01-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2023014674-A1 |
titleOfInvention |
Enhanced detection of target dna by fragment size analysis |
abstract |
The present invention provides a computer-implemented method for detecting variant nucleic acid from a cell-free nucleic acid-containing sample. The method comprises (a) providing data representing fragment sizes of nucleic acid fragments obtained from said sample and/or representing a measure of deviation from copy number neutrality of the nucleic acid fragments obtained from said sample; b) processing the data from step a) according to a classification algorithm, wherein said classification algorithm operates to classify sample data into one of at least a first class containing the variant nucleic acid and a second class not containing the variant nucleic acid, based on a plurality of cell-free nucleic acid fragment size features and/or a deviation from copy number neutrality feature; and c) outputting the classification of the sample from step b, thereby determining whether the sample contains the variant nucleic acid or not, or a probability that the sample contains the variant nucleic acid. Related methods are also provided. |
priorityDate |
2018-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |