Hygieia utilizes feature selection to predict the clinical and genomic basis of disease.
Project description
# Hygieia Hygieia — The Python Package that Utilizes Feature Selection to Predict the Clinical and Genomic Basis of Disease
Hygieia is an open-source Python package that conducts feature selection on patient records, extracting impactful information about non-genomic and genomic characteristics. Hygieia combines cutting-edge and tried-and-tested gene expression analysis methods, placing machine learning algorithms and classical statistics tests at its user’s fingertips. Hygieia is simple to use and provides easy-to-interpret results, cementing itself as a fantastic tool for scientists without a solid computational background. The Ahmed Lab plans to expand Hygieia further as we explore the uncharted intersection between artificial intelligence and gene expression analysis, incorporating a vaster array of feature selection methods into the package in the future.
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