http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3899951-A1

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filingDate 2019-12-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cff989a8d34c0ee03793a23dec921115
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publicationDate 2021-10-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EP-3899951-A1
titleOfInvention Tumor classification based on predicted tumor mutational burden
abstract The present disclosure provides systems and methods of classifying and/or identifying a cancer subtype. The present disclosure also provides methods of enhancing the prediction of a tumor mutational burden by using both synonymous and non-synonymous somatic mutations in the computation method. It is believed that by increasing the number of mutations in the computation of the tumor mutational burden, a comparatively more consistent tumor mutational burden may be derived, especially for targeted-panel sequencing. It is believed that the consistent computation of the tumor mutational burden from targeted panels allows for computationally quicker and less costly analysis of sequencing data as compared with a tumor mutational burden computed from whole exome sequencing data.
priorityDate 2018-12-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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