Results 81 to 90 of about 2,453,732 (306)
Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs
Journal of Animal Science and Biotechnology, 2022 Background Recently, machine learning (ML) has become attractive in genomic prediction, but its superiority in genomic prediction over conventional (ss) GBLUP methods and the choice of optimal ML methods need to be investigated.
Xue Wang +7 more
doaj +1 more source
Genomic selection in dairy cattle [PDF]
, 2011 The objectives of this Ph.D. thesis were (1) to optimise genomic selection in dairy cattle with respect to the accuracy of predicting total genetic merit and (2) to optimise a dairy cattle breeding program using genomic selection. The study was performed
Roos, A.P.W., de
core
DNA ligase LigE increases bacterial transformation with damaged extracellular DNA
FEBS Letters, EarlyView.The DNA ligase LigE from the naturally competent Gram‐negative bacterium Neisseria gonorrhoaea increases transformation with cut extracellular DNA. This process is ATP‐dependent and relies on the catalytic activity of LigE; it also requires that LigE contains an intact periplasmic localisation sequence, indicating that ligE functions in the periplasm ...
Jolyn Pan +4 more
wiley +1 more source
Genomic prediction in a large African maize population [PDF]
, 2017 Genomic prediction (GP) combines genomewide marker data with phenotypic data in a training population to predict the genomic estimated breeding values of untested individuals in a relevant testing population.
Crossa, J. +8 more
core +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP
PLoS ONE, 2014 We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D +4 more
openaire +4 more sources
PRESS and prediction accuracy (Q2) for the grain weight distribution in genomic prediction.
, 2018 PRESS and prediction accuracy (Q2) for the grain weight distribution in genomic prediction.
Shiori Yabe (3172620) +7 more
core +1 more source
Molecular Oncology, EarlyView.Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens +6 more
wiley +1 more source
, 2018 Perl wrapper script (forks to run multiple jobs) to run the genomic prediction option in gemma.
Gompert, Zach +5 more
core +1 more source
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source