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Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in genetical genomics studies.
Fusi, Nicoló; Stegle, Oliver; Lawrence, Neil D.
Affiliation
  • Fusi N; Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom. nicolo.fusi@sheffield.ac.uk
PLoS Comput Biol ; 8(1): e1002330, 2012 Jan.
Article in En | MEDLINE | ID: mdl-22241974
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Algorithms / Gene Expression Regulation / Models, Statistical / Chromosome Mapping / Quantitative Trait Loci / Models, Genetic Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2012 Document type: Article Affiliation country: United kingdom Country of publication: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Algorithms / Gene Expression Regulation / Models, Statistical / Chromosome Mapping / Quantitative Trait Loci / Models, Genetic Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2012 Document type: Article Affiliation country: United kingdom Country of publication: United States