Difference between revisions of "Biostatistics 666: Introduction to the E-M Algorithm"
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== Objective == | == Objective == | ||
| − | Introduce the E-M algorithm in genetics | + | 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 == | == Slides == | ||
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== Recommended Reading == | == Recommended Reading == | ||
| − | Slatkin M, Excoffier L (1996) | + | Slatkin M, Excoffier L (1996) Testing for linkage disequilibrium in genotypic data using the EM algorithm. ''Heredity'' '''76''':377–383 |
Revision as of 22:42, 15 February 2010
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
