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The 23Andme, Inc. patent solves the following problem:
Ancestry deconvolution aims to recognize the ancestral origin of chromosomal people. Ancestry deconvolution admixed individuals (ie, those whose ancestors as grandparents from different regions) is straightforward when the global population considered sufficient (for example, a grandfather from Europe and one from Asia). To date, however, current methods are often not effective in distinguishing between closely related populations (eg, in Europe). Furthermore, because of their computational complexity, the current procedures for background deconvolution not good for application in setting large-scale, which references ornaments used include thousands of people.
Our analysis of this patent is as follows:
23Andme, Inc.’s patent US 9213947 B1 deals with Scalable pipeline for local ancestry inference.
Ancestry deconvolution includes gain unphased genotype data in an individual; destroy, to use one or more processors, unphased genotype data creation of haplotype data; Using a machine learning to classify the portion of lost data haplotype as equivalent in certain ancestries individuals and create initial classification results; and correction of errors in the classification results in the creation of modified classification results.
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