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Issues with data tr...
Issues with data transformation in genome-wide association studies for phenotypic variability
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- Shen, Xia (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för kliniska vetenskaper (KV),Department of Clinical Sciences,SLUDivision of Computational Genetics, Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala
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- Rönnegård, Lars (författare)
- Högskolan Dalarna,Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics,Statistik,Division of Quantitative Genetics, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala
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(creator_code:org_t)
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- 2013-10-02
- 2013
- Engelska.
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Ingår i: F1000Research. - : F1000 Research Ltd. - 2046-1402. ; 2, s. 1-4
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Abstract
Ämnesord
Stäng
- The purpose of this correspondence is to discuss and clarify a few points about data transformation used in genome-wide association studies, especially for phenotypic variability. By commenting on the recent publication by Sun et al. in the American Journal of Human Genetics, we emphasize the importance of statistical power in detecting functional loci and the real meaning of the scale of the phenotype in practice.
Ämnesord
- NATURVETENSKAP -- Biologi -- Genetik (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Genetics (hsv//eng)
- LANTBRUKSVETENSKAPER -- Bioteknologi med applikationer på växter och djur -- Genetik och förädling inom lantbruksvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agricultural Biotechnology -- Genetics and Breeding in Agricultural Sciences (hsv//eng)
Nyckelord
- General Microdata Analysis - methods
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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