Difference between revisions of "Biostatistics 666: Introduction to the E-M Algorithm"
From Genome Analysis Wiki
Jump to navigationJump to search (→Slides) |
(→Slides) |
||
| Line 5: | Line 5: | ||
== 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
