Damian Roqueiro

Droplet digital PCR assay to analyze allele-specific mRNA expression on HTT repeat expansion locus

The paper develops an optimized droplet digital PCR assay to precisely quantify allele-specific HTT mRNA expression in HD patient cell lines, enabling reliable monitoring of allele-selective knockdown.

Forestwalk: A machine learning workflow brings new insights into posture and balance in rodent beam walking

Forestwalk uses machine learning to analyze rodent beam walking, revealing new insights into posture and balance through automated feature extraction and classification.

Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains

This paper introduces an ensemble artificial neural network (eANN) to improve neuronal connectivity inference from spike trains, showing it outperforms existing methods across different dynamical regimes.

GeneSelectR: An R Package Workflow for Enhanced Feature Selection from RNA Sequencing Data

GeneSelectR is an R package that integrates machine learning and bioinformatics for feature selection in RNAseq data, prioritizing biologically relevant features through ML performance and GO analysis.

Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation

The paper introduces DeePhys, a tool for functional phenotyping of neurons using electrophysiological data, and shows it can predict genotype and age in iPSC-derived DA neurons with the A53T SNCA mutation.