| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_66467fe5b0acf469afb972f300bcfb87 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20
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/G16B40-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-54373
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-6842
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-6818
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-582 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-487
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-68 |
| filingDate |
2019-10-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aa9e2e6798d0776d55e7e2e248ab38f6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_07bb1cb1bab82d4acb23c6551ab6eb35
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0c3faaf3767c482c608903034ddb6309 |
| publicationDate |
2020-04-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2020084619-A1 |
| titleOfInvention |
Machine learning for protein identification |
| abstract |
Methods for identifying a peptide by analyzing a linear readout representative of at least a portion of at least two amino acids along the peptide using a machine learning model, wherein the machine learning model is trained on linear readouts representative of a set of peptides of known sequence are provided. Methods of training a machine learning model on linear readouts representative of a set of known peptides, and systems for performing the methods of the invention are also provided. |
| priorityDate |
2018-10-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |