{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11238955","patent":{"patent_number":"US-11238955","title":"Single sample genetic classification via tensor motifs","assignee":null,"inventors":[],"filing_date":"2018-02-20T00:00:00.000Z","publication_date":"2022-02-01T00:00:00.000Z","cpc_codes":["G16B","G16H","G06N","G06N","G16B","G16B","G16H","G16B"],"num_claims":17,"abstract":"A computer-implemented method includes generating, by a processor, a set of training data for each phenotype in a database including a set of subjects. The set of training data is generated by dividing genomic information of N subjects selected with or without repetition into windows, computing a distribution of genomic events in the windows for each of N subjects, and extracting, for each window, a tensor that represents the distribution of genomic events for each of N subjects. A set of test data is generated for each phenotype in the database, a distribution of genomic events in windows for each phenotype is computed, and a tensor is extracted for each window that represents a distribution of genomic events for each phenotype. The method includes classifying each phenotype of the test data with a classifier, and assigning a phenotype to a patient."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Single sample genetic classification via tensor motifs","description":"A computer-implemented method includes generating, by a processor, a set of training data for each phenotype in a database including a set of subjects. The set of training data is generated by dividin","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11238955","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11238955","citation_suggestion":"Patentable. \"Single sample genetic classification via tensor motifs\" (US-11238955). https://patentable.app/patents/US-11238955","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11238955","json":"https://patentable.app/api/llm-context/US-11238955","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:14:03.324Z"}