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Egil Ferkingstad

Showing results (1-10 of 45) with videos related to

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Genome Biology|March 25, 2008
Indirect genomic effects on survival from gene expression dataEgil Ferkingstad, Arnoldo Frigessi, Heidi Lyng
Bioinformatics (Oxford, England)|October 15, 2011
Sequential Monte Carlo multiple testingGeir Kjetil Sandve, Egil Ferkingstad, Ståle Nygård
Lifetime Data Analysis|July 4, 2006
Dynamic path analysis-a new approach to analyzing time-dependent covariatesJohan Fosen, Egil Ferkingstad, Ørnulf Borgan, et al.
Neuroimage|April 4, 2009
Local and covariate-modulated false discovery rates applied in neuroimagingGlenn Lawyer, Egil Ferkingstad, Ragnar Nesvåg, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|February 12, 2013
A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claimsIda Scheel, Egil Ferkingstad, Arnoldo Frigessi, et al.
Plos One|April 17, 2015
ClusTrack: feature extraction and similarity measures for clustering of genome-wide data setsHalfdan Rydbeck, Geir Kjetil Sandve, Egil Ferkingstad, et al.
Briefings in Bioinformatics|October 19, 2019
Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysisStefania Salvatore, Knut Dagestad Rand, Ivar Grytten, et al.
Genome Biology|December 25, 2010
The Genomic HyperBrowser: inferential genomics at the sequence levelGeir K Sandve, Sveinung Gundersen, Halfdan Rydbeck, et al.
BMC Genomics|July 9, 2011
The differential disease regulomeGeir K Sandve, Sveinung Gundersen, Halfdan Rydbeck, et al.
Communications Biology|June 19, 2021
Predicting the probability of death using proteomicsThjodbjorg Eiriksdottir, Steinthor Ardal, Benedikt A Jonsson, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Genome Biology|March 25, 2008
Indirect genomic effects on survival from gene expression dataEgil Ferkingstad, Arnoldo Frigessi, Heidi Lyng
Bioinformatics (Oxford, England)|October 15, 2011
Sequential Monte Carlo multiple testingGeir Kjetil Sandve, Egil Ferkingstad, Ståle Nygård
Lifetime Data Analysis|July 4, 2006
Dynamic path analysis-a new approach to analyzing time-dependent covariatesJohan Fosen, Egil Ferkingstad, Ørnulf Borgan, et al.
Neuroimage|April 4, 2009
Local and covariate-modulated false discovery rates applied in neuroimagingGlenn Lawyer, Egil Ferkingstad, Ragnar Nesvåg, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|February 12, 2013
A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claimsIda Scheel, Egil Ferkingstad, Arnoldo Frigessi, et al.
Plos One|April 17, 2015
ClusTrack: feature extraction and similarity measures for clustering of genome-wide data setsHalfdan Rydbeck, Geir Kjetil Sandve, Egil Ferkingstad, et al.
Briefings in Bioinformatics|October 19, 2019
Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysisStefania Salvatore, Knut Dagestad Rand, Ivar Grytten, et al.
Genome Biology|December 25, 2010
The Genomic HyperBrowser: inferential genomics at the sequence levelGeir K Sandve, Sveinung Gundersen, Halfdan Rydbeck, et al.
BMC Genomics|July 9, 2011
The differential disease regulomeGeir K Sandve, Sveinung Gundersen, Halfdan Rydbeck, et al.
Communications Biology|June 19, 2021
Predicting the probability of death using proteomicsThjodbjorg Eiriksdottir, Steinthor Ardal, Benedikt A Jonsson, et al.
Pageof 5