Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Langaas Mette"'
We investigate saddlepoint approximations applied to the score test statistic in genome-wide association studies with binary phenotypes. The inaccuracy in the normal approximation of the score test statistic increases with increasing sample imbalance
Externí odkaz:
http://arxiv.org/abs/2110.04025
Autor:
Johnsen, Pål Vegard, Strümke, Inga, Riemer-Sørensen, Signe, DeWan, Andrew Thomas, Langaas, Mette
Estimating feature importance is a significant aspect of explaining data-based models. Besides explaining the model itself, an equally relevant question is which features are important in the underlying data generating process. We present a Shapley v
Externí odkaz:
http://arxiv.org/abs/2109.00855
Autor:
Langaas Mette, Ramampiaro Heri, Günther Clara-Cecilie, Lydersen Stian, Jølsum Lars, Bergum Hallgeir, Jünge Frode KR, Beisvag Vidar, Sandvik Arne K, Lægreid Astrid
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 470 (2006)
Abstract Background Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes. This has created a need for tools facilitating int
Externí odkaz:
https://doaj.org/article/93b8dfcd4a9c4e258025f9dcb8ade118
Publikováno v:
BMC Genomics, Vol 6, Iss 1, p 147 (2005)
Abstract Background Global mRNA amplification has become a widely used approach to obtain gene expression profiles from limited material. An important concern is the reliable reflection of the starting material in the results obtained. This is especi
Externí odkaz:
https://doaj.org/article/241f14620a3448f1bd8563d801b601f8
Autor:
Myklebost Ola, Liu Fang, Rue Håvard, Langaas Mette, Holden Marit, Løland Anders, Nygaard Vigdis, Fodstad Øystein, Hovig Eivind, Smith-Sørensen Birgitte
Publikováno v:
BMC Genomics, Vol 4, Iss 1, p 11 (2003)
Abstract Background A limiting factor of cDNA microarray technology is the need for a substantial amount of RNA per labeling reaction. Thus, 20–200 micro-grams total RNA or 0.5–2 micro-grams poly (A) RNA is typically required for monitoring gene
Externí odkaz:
https://doaj.org/article/fafd21a189ca4fdfbaed11bb2f5d57c6
Autor:
de Soysa, Ann Kristin H., Martins, Catia, Langaas, Mette, Grill, Valdemar, Mostad, Ingrid Løvold
Publikováno v:
In Current Developments in Nutrition February 2023 7(2)
Publikováno v:
Statistics in Medicine. 2018; 37: 4234-4251
We consider cross-sectional genetic association studies (common and rare variants) where non-genetic information is available, or feasible to obtain for $N$ individuals, but where it is infeasible to genotype all $N$ individuals. We consider continuo
Externí odkaz:
http://arxiv.org/abs/1701.01286
Autor:
Halle, Kari Krizak, Langaas, Mette
In genome-wide association (GWA) studies the goal is to detect associations between genetic markers and a given phenotype. The number of genetic markers can be large and effective methods for control of the overall error rate is a central topic when
Externí odkaz:
http://arxiv.org/abs/1612.07010
In genome-wide association (GWA) studies the goal is to detect association between one or more genetic markers and a given phenotype. The number of genetic markers in a GWA study can be in the order hundreds of thousands and therefore multiple testin
Externí odkaz:
http://arxiv.org/abs/1612.04535
Autor:
Moldovan, Max, Langaas, Mette
Publikováno v:
Advances in Systems Science and Applications (2014) Vol.14 No.1 76-83
We introduce a method for computation of exact conditional efficiency robust enumeration p-values for detection of genotype--phenotype associations at a single bi-allelic genetic locus. Our method can be based on any arbitrary ranking test statistics
Externí odkaz:
http://arxiv.org/abs/1307.7537