Ricardo Cerri

This study classifies LTR retrotransposons at the superfamily level using Predictive Bi-Clustering Trees, showing comparable performance to existing methods in D. melanogaster and A. thaliana.

This study improves SNP association analysis for Alzheimer's disease using enhanced preprocessing and mixed linear models, identifying SNPs in known AD-associated regions without benefit from demographic data.

This paper predicts piRNA-TE interactions using a decision tree algorithm, showing improved performance with matrix factorization despite dataset imbalance.

The paper presents the first draft genome assembly of Phrixothrix hirtus, revealing gene family expansions and bioluminescence-related genes shared with Elateroidea.

This paper investigates deep feedforward neural networks for classifying transposon-derived piRNAs, showing improved performance over existing methods with an F-measure of 0.872.