| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_37e00b5905c9fd85956d9bab070c5cb8 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate |
2020-12-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e252f823b539e91fb9251d96ba207d9c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3525c87742ad4fb46904249b429475df
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b811dcdd3349ac361042d6c545d8eb47
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_93215df351d34e7c2dc28082ae7ecc7f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_30dbf301a7b18061e9e48dbd5137bbbb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_de087defd598a99bcd757fdbe80a5c8a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_81ab96fb9cb1e7e461bd43d51048ccbe
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aca72d5343376f6c84f5e56cbd74b6ca
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8e12be640ab913c6865f0a88ffdb4b19
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f5c52e5271e7586b9f1909d48383f3b8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2bc2a6500901fbe1a6a6883426cb1128 |
| publicationDate |
2022-10-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
KR-20220133868-A |
| titleOfInvention |
Cancer Classification Using Patch Convolutional Neural Networks |
| abstract |
A method is provided for determining a disease state of a subject of a species comprising obtaining a dataset of fragment methylation patterns determined by methylation sequencing of nucleic acids from a biological sample of the subject. The fragment methylation pattern includes the methylation status of each CpG site in the fragment. A patch comprising a channel comprising a parameter for the methylation status of each CpG site in a set of CpG sites in a set of CpG sites in a reference genome represented by the patch, for each fragment in a plurality of fragments aligned in the set of CpG sites, each It is constructed by filling in instances of all or part of a plurality of parameters based on the methylation pattern of the fragment. Application of the patch to the patch convolutional neural network determines the disease state of the subject. |
| priorityDate |
2019-12-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |