Breast and Colorectal Cancers in Women: a Meta-Analysis Driven by BioOptimatics.

Objective: This meta-analysis explored genes in common between breast cancer (BC) and colorectal cancer (CRC) in women. Breast cancer and CRC are causes of significant morbidity and mortality in women worldwide. Research has shown that women are underrepresented in clinical trials, especially in oncology; studying sex differences in cancer addresses this lack.

Hepatitis C virus infection and Parkinson's disease: insights from a joint sex-stratified BioOptimatics meta-analysis.

Hepatitis C virus (HCV) infection poses a significant public health challenge and often leads to long-term health complications and even death. Parkinson's disease (PD) is a progressive neurodegenerative disorder with a proposed viral etiology. HCV infection and PD have been previously suggested to be related.

Multiple Criteria Optimization (MCO): A gene selection deterministic tool in RStudio.

Identifying genes with the largest expression changes (gene selection) to characterize a given condition is a popular first step to drive exploration into molecular mechanisms and is, therefore, paramount for therapeutic development. Reproducibility in the sciences makes it necessary to emphasize objectivity and systematic repeatability in biological and informatics analyses, including gene selection. With these two characteristics in mind, in previous works our research team has proposed using multiple criteria optimization (MCO) in gene selection to analyze microarray datasets.