AetherX

BioNOVA AI is a bioinformatics research project that investigates gene expression patterns associated with lung cancer using publicly available genomic datasets. The project focuses on the AGER gene and analyses its expression in tumour and normal tissue samples using two independent GEO datasets: GSE19804 and GSE10072. Using Python-based data processing and statistical methods, BioNOVA AI identifies gene expression differences, applies Welch's t-test and Benjamini-Hochberg multiple-testing correction, and validates the findings using an independent dataset. The analysis found consistently lower AGER expression in tumour samples across both datasets, supported by two gene probes. Results are presented through statistical tables, visualisations, and research summaries. BioNOVA AI aims to make gene expression research more systematic, reproducible, and accessible through computational biology. Its findings represent research associations and are not intended for medical diagnosis.