César Paz‐y‐Miño

OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine

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.

Characterization Of Ancestral Origin Of Cystic Fibrosis Of Patients With New Reported Mutations In CFTR

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.

Prediction of breast cancer proteins using molecular descriptors and artificial neural networks: a focus on cancer immunotherapy proteins, metastasis driver proteins, and RNA-binding proteins

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.

Prediction of druggable proteins using machine learning and functional enrichment analysis: a focus on cancer-related proteins and RNA-binding proteins

The paper develops a machine learning model to predict druggable proteins, achieving high accuracy, and identifies potential targets in cancer and RNA-binding proteins.

Pharmacogenomics, biomarker network and allele frequencies in colorectal cancer

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

Genomic, Ancestral and Networking Analyses of a High-Altitude Native American Ecuadorian Patient with Congenital Insensitivity to Pain with Anhidrosis

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