Santiago Xavier Guerrero

This study identifies essential genes in breast cancer using OncoOmics approaches, revealing 144 genes with 33% being cancer hallmarks and 14% significant across multiple methods.

The paper characterizes the ancestral origin of CFTR mutations in Ecuadorian patients, finding high Native American ancestry with exceptions in three individuals with European ancestry.

The paper develops an artificial neural network model to predict breast cancer-related proteins, achieving high accuracy and identifying top-ranked proteins in three categories.

This paper reviews pharmacogenomics biomarkers and genomic alterations in colorectal cancer to improve precision medicine strategies, with a focus on Latin America.

The paper performs genomic, ancestral, and networking analysis on a high-altitude Ecuadorian CIPA patient, identifying NTRK1 mutations and associated variants.