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FaST linear mixed models for genome-wide association studies
Christoph Lippert
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Oznake: computer science;machine learning;linear models;astronomy;cosmology
We describe FaST-LMM, a linear mixed model for genome-wide association studies that scales linearly in the number of individuals in both runtime and memory use. Our algorithm is an order of magnitude faster than current efficient algorithms (EMMAX/P3D) on Wellcome Trust data with 15,000 individuals. ...
Leto: 2011 Vir: videolectures.net
Relation-Prediction in Multi-Relational Domains using Matrix-Factorization
Christoph Lippert , Stefan-Hagen Weber , Yi Huang , Volker Tresp , Matthias Schubert , Hans-Peter Kriegel
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Oznake: computer science;bioinformatics;computational systems biology
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 2
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