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BroadE: Statistical Genetics - Association testing

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Computational Systems Biology G The course focuses on statistically determining the relations between genotypes and phenotypes. We now know that human genome contains millions of SNPs single-nucleotide polymorphisms , and thousands more variations in the number of copies of large and small segments of the genome CNVs: copy number variation , which may either directly cause changes in phenotype e.

It targets a person with a pretty high level of previous statistics knowledge, but even so, inconsistencies in notation are sufficiently ubiquitous that it makes the presentation and derivations hard to follow.


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  • Ambiguous symbols are everywhere. Clear errors abound as well; data quoted in case studies change from table to table compare Table 3. The book resembles the LaTeX rough drafts that grad students sometimes hand me; the problem is that in this relationship, I am the student, and I'm not even allowed to ask questions and push the authors to fix them.

    Mucsi on Jul 03, Many mathematical formulas and equations are missing from the text. In some places, the text is accidentally repeated. Overall, the Kindle edition is low quality. By Kwysocki on Feb 04, The book provides great fundamentals for genetic analysis. Although I have not completed the entire book I find that there are few worked out examples in the chapters making the exercises in the back of the chapters difficult to perform given the information in that or previous chapters.