Zobrazeno 1 - 10
of 719
pro vyhledávání: '"Lund Mogens"'
Publikováno v:
Genetics Selection Evolution, Vol 40, Iss 2, Pp 177-194 (2008)
Abstract A longitudinal approach is proposed to map QTL affecting function-valued traits and to estimate their effect over time. The method is based on fitting mixed random regression models. The QTL allelic effects are modelled with random coefficie
Externí odkaz:
https://doaj.org/article/b64a73290c044f6ca7c345a4c6506de4
Publikováno v:
Genetics Selection Evolution, Vol 40, Iss 2, Pp 195-214 (2008)
Abstract A whole genome scan was carried out to detect quantitative trait loci (QTL) for fertility traits in Finnish Ayrshire cattle. The mapping population consisted of 12 bulls and 493 sons. Estimated breeding values for days open, fertility treatm
Externí odkaz:
https://doaj.org/article/637b95c9981946328a40655b9ea5774d
Autor:
Schuberth Hans-Joachim, van Schothorst Evert M, Lund Mogens, San Cristobal Magali, Robert-Granié Christèle, Pool Marco H, Petzl Wolfram, Nie Haisheng, Cao Kim-Anh, de Koning Dirk-Jan, Jiang Li, Jensen Kirsty, Hulsegge Ina, Jaffrézic Florence, Hornshøj Henrik, Hedegaard Jakob, Glass Liz, Duval Mylène, Delmas Céline, Déjean Sébastien, Closset Rodrigue, Buitenhuis Bart, Bonnet Agnès, Sørensen Peter, Seyfert Hans-Martin, Tosser-Klopp Gwenola, Waddington David, Watson Michael, Yang Wei, Zerbe Holm
Publikováno v:
Genetics Selection Evolution, Vol 39, Iss 6, Pp 651-668 (2007)
Abstract The aim of this paper was to describe, and when possible compare, the multivariate methods used by the participants in the EADGENE WP1.4 workshop. The first approach was for class discovery and class prediction using evidence from the data a
Externí odkaz:
https://doaj.org/article/82e51fcacacb4d5ea1a9105c70ed95f0
Autor:
Sørensen Peter, Schuberth Hans-Joachim, van Schothorst Evert M, San Cristobal Magali, Robert-Granié Christèle, Pool Marco H, Petzl Wolfram, Nie Haisheng, Marot Guillemette, Malinverni Roberto, Lund Mogens, Cao Kim-Anh, Lavrič Miha, Jiang Li, Jensen Kirsty, Janss Luc, Hulsegge Ina, Hornshøj Henrik, Hedegaard Jakob, Foulley Jean-Louis, Duval Mylène, Dovč Peter, Detilleux Johanne C, Delmas Céline, Déjean Sébastien, Closset Rodrigue, Buitenhuis Bart, Bonnet Agnès, Boettcher Paul J, de Koning Dirk-Jan, Jaffrézic Florence, Stella Alessandra, Tosser-Klopp Gwenola, Waddington David, Watson Michael, Yang Wei, Zerbe Holm, Seyfert Hans-Martin
Publikováno v:
Genetics Selection Evolution, Vol 39, Iss 6, Pp 633-650 (2007)
Abstract A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for
Externí odkaz:
https://doaj.org/article/7d0d19ffaa4d45478eb9f125fc302714
Autor:
Jiménez-Marín Ángeles, Waddington David, Mouzaki Daphne, Jensen Kirsty, Seyfert Hans-Martin, Brunner Ronald M, Stella Alessandra, Malinverni Roberto, Baron Michael D, San Cristobal Magali, Cao Kim-Anh, Delmas Céline, Marot Guillemette, Sørensen Peter, Jiang Li, Hornshøj Henrik, Hedegaard Jakob, Buitenhuis Bart, Pool Marco H, Hulsegge Ina, Channing Caroline, Watson Michael, Lund Mogens, Jaffrézic Florence, de Koning Dirk-Jan, Pérez-Alegre Mónica, Pérez-Reinado Eva, Closset Rodrigue, Detilleux Johanne C, Dovč Peter, Lavrič Miha, Nie Haisheng, Janss Luc
Publikováno v:
Genetics Selection Evolution, Vol 39, Iss 6, Pp 621-631 (2007)
Abstract Microarray analyses have become an important tool in animal genomics. While their use is becoming widespread, there is still a lot of ongoing research regarding the analysis of microarray data. In the context of a European Network of Excelle
Externí odkaz:
https://doaj.org/article/ac890a3be69340d1b11dcea2f488fa1e
Publikováno v:
Genetics Selection Evolution, Vol 38, Iss 2, Pp 167-182 (2006)
Abstract This simulation study was designed to study the power and type I error rate in QTL mapping using cofactor analysis in half-sib designs. A number of scenarios were simulated with different power to identify QTL by varying family size, heritab
Externí odkaz:
https://doaj.org/article/3bf82cce3173469ba00e7c0b48eaf83b
Publikováno v:
Genetics Selection Evolution, Vol 35, Iss 7, Pp 605-622 (2003)
Abstract This study presents a multivariate, variance component-based QTL mapping model implemented via restricted maximum likelihood (REML). The method was applied to investigate bivariate and univariate QTL mapping analyses, using simulated data. S
Externí odkaz:
https://doaj.org/article/030f589fd0e9463896605a7d6e703b41
Publikováno v:
Genetics Selection Evolution, Vol 35, Iss 2, Pp 159-183 (2003)
Abstract A fully Bayesian analysis using Gibbs sampling and data augmentation in a multivariate model of Gaussian, right censored, and grouped Gaussian traits is described. The grouped Gaussian traits are either ordered categorical traits (with more
Externí odkaz:
https://doaj.org/article/4a780926b7c54e2b8dcf301b1d1092db
Autor:
Jensen Claus, Lund Mogens
Publikováno v:
Genetics Selection Evolution, Vol 31, Iss 1, Pp 3-24 (1999)
Externí odkaz:
https://doaj.org/article/0238332dc862498e8a91905acf117ec0
Autor:
Brøndum Rasmus, Su Guosheng, Lund Mogens, Bowman Philip J, Goddard Michael E, Hayes Benjamin J
Publikováno v:
BMC Genomics, Vol 13, Iss 1, p 543 (2012)
Abstract Background The accuracy of genomic prediction is highly dependent on the size of the reference population. For small populations, including information from other populations could improve this accuracy. The usual strategy is to pool data fr
Externí odkaz:
https://doaj.org/article/3d572158fd8a4854ab72c7b417901e98