# Difference between revisions of "Biostatistics 666: Introduction to the E-M Algorithm"

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== Slides == | == Slides == | ||

− | [[Media:666. | + | [[Media:666.2017.08 - The E-M Algorithm.pdf|Slides in PDF Format]] |

== Recommended Reading == | == Recommended Reading == | ||

Slatkin M, Excoffier L (1996) Testing for linkage disequilibrium in genotypic data using the EM algorithm. ''Heredity'' '''76''':377–383 | Slatkin M, Excoffier L (1996) Testing for linkage disequilibrium in genotypic data using the EM algorithm. ''Heredity'' '''76''':377–383 |

## Latest revision as of 07:12, 4 October 2017

## Objective

Introduce the E-M algorithm in genetics, demonstrating applications to allele frequency estimation for recessive alleles and ABO blood group alleles. After the lecture, students should start to develop an intuition for how the E-M algorithm handles missing data.

## Slides

## Recommended Reading

Slatkin M, Excoffier L (1996) Testing for linkage disequilibrium in genotypic data using the EM algorithm. *Heredity* **76**:377–383