https://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738
The book has a brief description of hyperparameter fitting using type 2 max likelihood at the start of section 3.5, pages 165-166
Posts Tagged ‘jw’
Pattern Recognition and Machine Learning (Information Science and Statistics): Christopher M. Bishop: 9780387310732: Amazon.com: Books
January 25, 2020Common SNPs explain a large proportion of the heritability for human height : Nature Genetics : Nature Research
June 2, 2017Common SNPs explain a large proportion (45%) of heritability for…height (85%)
http://www.Nature.com/ng/journal/v42/n7/abs/ng.608.html Cf 2010 GWASes could only explain 5%
Jian Yang,
Beben Benyamin,
Brian P McEvoy,
Scott Gordon,
Anjali K Henders,
Dale R Nyholt,
Pamela A Madden,
Andrew C Heath,
Nicholas G Martin,
Grant W Montgomery,
Michael E Goddard
& Peter M Visscher
Nature Genetics 42, 565–569 (2010) doi:10.1038/ng.608
QT:{{”
…conveniently implemented with a mathematically equivalent model that uses the SNPs to calculate the genomic relationship between pairs of subjects). Using this approach, we estimated the proportion of phenotypic variance explained by the SNPs as 0.45 (s.e. = 0.08, Table 1), a nearly tenfold increase relative to the 5% explained by published and validated individual SNPs
“}}
Common SNPs explain a large proportion of the heritability for human height : Nature Genetics : Nature Research
June 1, 2017http://www.nature.com/ng/journal/v42/n7/abs/ng.608.html
Common SNPs explain a large proportion of the heritability for human height
Jian Yang,
Beben Benyamin,
Brian P McEvoy,
Scott Gordon,
Anjali K Henders,
Dale R Nyholt,
Pamela A Madden,
Andrew C Heath,
Nicholas G Martin,
Grant W Montgomery,
Michael E Goddard
& Peter M Visscher
Nature Genetics 42, 565–569 (2010) doi:10.1038/ng.608
QT:{{"
…conveniently implemented with a mathematically equivalent model
that uses the SNPs to calculate the genomic relationship between
pairs of subjects). Using this approach, we estimated the proportion
of phenotypic variance explained by the SNPs as 0.45 (s.e. = 0.08,
Table 1), a nearly tenfold increase relative to the 5% explained by
published and validated individual SNPs
"}}
Common SNPs explain a large proportion (45%) of heritability for…height (80%) http://www.Nature.com/ng/journal/v42/n7/abs/ng.608.html Vs ’10 GWAS SNPs could only expl. 5%
Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease: Cell
October 1, 2016Zhang, Bin, Chris Gaiteri, Liviu-Gabriel Bodea, Zhi Wang, Joshua McElwee, Alexei A. Podtelezhnikov, Chunsheng Zhang et al. "Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer’s disease." Cell 153, no. 3 (2013): 707-720.
Integrated systems approach identifies genetic…#networks in…Alzheimer’s http://www.Cell.com/cell/abstract/S0092-8674(13)00387-5 Determining causality from co-expression
linkstream2 microblog 