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Bayesian forecasting of temporal gene expression by using an autoregressive pan...

Nascimento, M.; Silva, F.F. e; Sáfadi, T.; Nascimento, A.C.C.; Barroso, L.M.A.; Glória, L.S.; Carvalho, B. de S.

We propose and evaluate a novel approach for forecasting gene expression over non-observed times in longitudinal trials under a Bayesian viewpoint. One of the aims is to cluster genes that share similar expression patterns over time and then use this similarity to predict relative expression at time points of interest. Expression values of 106 genes expressed during the cell cycle of Saccharomyces cerevisiae we...

Date: 2018   |   Origin: Oasisbr

Factor analysis applied to genome prediction for high-dimensional phenotypes in...

Teixeira, F.R.F.; Nascimento, M.; Nascimento, A.C.C.; Silva, F.F. e; Cruz, C.D.; Azevedo, C.F.; Paixão, D.M.; Barroso, L.M.A.; Verardo, L.L.

The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genomewide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four...

Date: 2017   |   Origin: Oasisbr

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