B.C. Perez

Guiding eQTL mapping and genomic prediction of gene expression in three pig breeds with tissue-specific epigenetic annotations from early development

The paper integrates tissue-specific epigenetic annotations into genomic predictions of gene expression in three pig breeds, improving eQTL mapping interpretability but facing challenges in cross-breed predictions.

Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependence

This study evaluates genomic prediction models incorporating gene transcripts and finds that transcript-based models improve accuracy when phenotypes are measured close to transcript sampling, but combining transcript and SNP data does not consistently outperform single-omics models.

Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice

This study compares linear models and gradient boosting machine for predicting complex traits in outbred mice, finding linear models generally outperform GBM, except for traits with epistatic effects.