Results 71 to 80 of about 3,820,379 (274)

Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP [PDF]

, 2015
Background: The use of information across populations is an attractive approach to increase the accuracy of genomic prediction for numerically small populations.
M. P. L. Calus, S. van den Berg, T. H. E. Meuwissen, Y. C. J. Wientjes   +3 more
core   +4 more sources

Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection

Genetics Selection Evolution, 2017
Background A better understanding of the genetic architecture of complex traits can contribute to improve genomic prediction. We hypothesized that genomic variants associated with mastitis and milk production traits in dairy cattle are enriched in ...
Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund, Peter Sørensen   +7 more
doaj   +1 more source

Genomic Prediction and Genetic Correlation of Agronomic, Blackleg Disease, and Seed Quality Traits in Canola (Brassica napus L.)

Plants, 2020
Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information.
Mulusew Fikere, Denise M. Barbulescu, M. Michelle Malmberg, Pankaj Maharjan, Phillip A. Salisbury, Surya Kant, Joe Panozzo, Sally Norton, German C. Spangenberg, Noel O. I. Cogan, Hans D. Daetwyler   +10 more
doaj   +1 more source

Predicting Pancreatic Cancer Using Support Vector Machine [PDF]

, 2017
This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core   +1 more source

Genomic prediction in CIMMYT maize and wheat breeding programs [PDF]

, 2013
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending on the prediction problem ...
BA McKinney, BJ Hayes, C Riedelsheimer, D Bonnett, D Gianola, D Gianola, D Habier, D Wang, D Wang, EL Heffner, G de los Campos, G de los Campos, HD Daetwyler, J Burgueño, J Burgueño, J Burgueño, J Burgueño, J Cerón-Rojas, J Crossa, J Crossa, J Crossa, J Hickey, JM Gonzalez-Camacho, JM Hickey, K Mathews, L Ornella, L Ornella, ME Goddard, P Pérez, P Pérez, P Pérez, PM VanRaden, PM VanRaden, PM VanRaden, R Babu, R Bernardo, R Bernardo, RE Lorenzana, S Dreisigacker, T Hastie, T Park, THE Meuwissen, VS Windhausen, X Zhang, Y Li, Y Zhao, YM Zhang   +46 more
core   +1 more source

Genomic Prediction Using Prior Quantitative Trait Loci Information Reveals a Large Reservoir of Underutilised Blackleg Resistance in Diverse Canola (Brassica napus L.) Lines

The Plant Genome, 2018
Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease.
Mulusew Fikere, Denise M. Barbulescu, Michelle M. Malmberg, Fan Shi, Joshua C.O. Koh, Anthony T. Slater, Iona M. MacLeod, Phillip J. Bowman, Phillip A. Salisbury, German C. Spangenberg, Noel O.I. Cogan, Hans D. Daetwyler   +11 more
doaj   +1 more source

Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep [PDF]

, 2014
BACKGROUND: The accuracy of genomic prediction depends largely on the number of animals with phenotypes and genotypes. In some industries, such as sheep and beef cattle, data are often available from a mixture of breeds, multiple strains within a breed ...
Andrew A Swan, Julius HJ van der Werf, Nasir Moghaddar   +2 more
core   +2 more sources

GMStool: GWAS-based marker selection tool for genomic prediction from genomic data

Scientific Reports, 2020
The increased accessibility to genomic data in recent years has laid the foundation for studies to predict various phenotypes of organisms based on the genome.
Seongmun Jeong, Jae-Yoon Kim, Namshin Kim   +2 more
semanticscholar   +1 more source

Prediction of β-barrel membrane proteins by searching for restricted domains [PDF]

, 2005
BACKGROUND: The identification of beta-barrel membrane proteins out of a genomic/proteomic background is one of the rapidly developing fields in bioinformatics. Our main goal is the prediction of such proteins in genome/proteome wide analyses.
Mirus, Oliver, Schleiff, Enrico
core   +2 more sources

Using Local Convolutional Neural Networks for Genomic Prediction

bioRxiv, 2020
The prediction of breeding values and phenotypes is of central importance for both livestock and crop breeding. With increasing computational power and more and more data to potentially utilize, Machine Learning and especially Deep Learning have risen in
T. Pook, Jan A. Freudenthal, A. Korte, H. Simianer   +3 more
semanticscholar   +1 more source