8.1.3-GeneticInheritanceBNs

8.1.3-GeneticInheritanceBNs - Machine Learning Srihari...

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Machine Learning Srihari 1 Genetic Inheritance and Bayesian Networks Sargur Srihari [email protected]
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Machine Learning Srihari 2 Genetics Pedigree Example • One of the earliest uses of Bayesian Networks – Before general framework was defined • Local independencies are intuitive • Model transmission of certain properties such as blood type from parent to child
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Machine Learning Srihari Phenotype and Genotype • Some background on genetics needed to model properly • Blood type is an observable quantity that depends on the genetic makeup – Called a phenotype • Genetic makeup of a person is called a genotype 3
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Machine Learning Srihari Genetic Model • Human genetic material – 22 pairs of autosomal chromosomes – One pair of sex chromosomes (X and Y) • Each chromosome contains genetic material that determine person’s properties • Locus: Region of chromosome of interest – Blood type is a particular locus • Alleles: Variants of locus – Blood type has three variants: A, B, O 4
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Machine Learning Srihari 5 5 Actual Electron Photo micrograph Single Chromosome: ~10 8 base-pairs Genome: sequence of 3x10 9 base-pairs (nucleotides A,C,G,T) Represents full set of chromosomes Genome has 46 chromosomes (22 are repeated plus XX and XY)
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8.1.3-GeneticInheritanceBNs - Machine Learning Srihari...

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