Daniel Trejo Baños

The paper maps the lipidomic architecture of the adult mouse brain at micrometric scale, revealing spatial lipid organization and its functional relevance.

This paper introduces scClone2DR, a framework predicting tumour drug response at the clone level using single-cell DNA/RNA sequencing and drug-screening data, showing improved accuracy in identifying clonal sensitivities and resistance.

This paper improves genomic prediction and GWAS discovery in biobank data using a Bayesian grouped mixture of regressions model, achieving higher accuracy and detecting more loci than existing methods.

This study identifies DNA methylation predictors of cognitive function using blood samples, showing they explain variance in cognitive ability and associate with biological markers.

The paper introduces a Bayesian model, BayesRR-RC, to infer the genetic architecture of complex traits and finds that most genetic variance is attributed to non-proximal regulatory and coding regions.

This paper introduces BayesW, a Bayesian method for analyzing time-to-event phenotypes, showing improved statistical power and prediction accuracy for age-at-onset traits in large-scale datasets.

This study identifies genetic and epigenetic factors associated with inflammatory protein levels in older adults using GWAS and EWAS with a Bayesian framework.

This paper introduces a Bayesian method to estimate epigenetic associations with complex traits, finding that methylation data captures significant variance in BMI and smoking behavior.