Maximum likelihood reconstruction of ancestral networks by integer linear programming
نویسندگان
چکیده
منابع مشابه
Maximum likelihood pedigree reconstruction using integer linear programming.
Large population biobanks of unrelated individuals have been highly successful in detecting common genetic variants affecting diseases of public health concern. However, they lack the statistical power to detect more modest gene-gene and gene-environment interaction effects or the effects of rare variants for which related individuals are ideally required. In reality, most large population stud...
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Abstract Pedigrees are ‘family trees’ relating groups of individuals which can usefully be seen as Bayesian networks. The problem of finding a maximum likelihood pedigree from genotypic data is encoded as an integer linear programming problem. Two methods of ensuring that pedigrees are acyclic are considered. Results on obtaining maximum likelihood pedigrees relating 20, 46 and 59 individuals a...
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Maximum-likelihood methods are used extensively in phylogenetic studies [3]. In particular, aminoacid sequences of ancestral species have been inferred using these methods [7]. Such ancestral reconstruction tasks aim at identifying either the most likely sequence in a specific ancestor species (marginal reconstruction), or the most likely set of ancestral states corresponding to all the ancestr...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2020
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btaa931