Víctor Treviño

Mitochondrial respiratory complexes, excitation-contraction coupling and mTOR signaling transcriptional programs are dysregulated in cardiometabolic HFpEF

This study identifies transcriptomic changes in HFpEF mouse hearts, showing mitochondrial respiratory complex downregulation, mTOR activation, and excitation-contraction coupling disruption.

Human embryonic stem cells-derived dopaminergic neurons transplanted in parkinsonian monkeys recover dopamine levels and motor behavior

Modeling and analysis of site-specific mutations in cancer identifies known plus putative novel hotspots and bias due to contextual sequences

The paper presents an algorithm and statistical model to detect cancer hotspots in TCGA data, identifying known and novel hotspots and analyzing sequence context biases.

Exploring Survival Models Associated with MCI to AD Conversion: A Machine Learning Approach

This paper uses machine learning to build and analyze MRI-based survival models predicting conversion from mild cognitive impairment to Alzheimer's disease.

Benchmarking machine learning models for the analysis of genetic data using FRESA.CAD Binary Classification Benchmarking

The paper benchmarks machine learning models for genetic data analysis using FRESA.CAD Binary Classification Benchmarking, showing quantitative and qualitative advantages over existing tools.