Appying machine learning methods to a mitochondrial DNA dataset to guess ethnicity
نویسنده
چکیده
We use a mitochondrial DNA (mtDNA) dataset provided by the FBI to build classifiers that can guess the ethnicity of the bearer of an mtDNA sample, using a number of different algorithms. Mitochondrial DNA is the genetic material that is found in mitochondria, organelles that reside inside the cells. The DNA found in mitochondria is relatively small in size but is highly informative and is therefore a potential good predictor for ethnicity. The majority of previous work on inferring ethnicity from genetic material has focused on autosomal DNA (the chromosomal DNA excluding the sex chromosomes), however, these methods require large amounts of genetic material, whereas mtDNA is small and abundant. Our results are, in the best case, qualitatively similar to the ones of the most recently reported work in the literature, while we obtain a slight improvement in macro-accuracy using SVMs without dimensionality reduction.
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