Publications by authors named "Leon Hetzel"
Article Synopsis
- The text discusses the introduction of "ehrapy," an open-source Python framework designed for comprehensive analysis of electronic health records (EHRs) and epidemiology data, addressing the lack of tools for heterogeneous data exploration.
- ehrapy streamlines various analytical processes including data extraction, quality control, and statistical analysis, allowing researchers to explore patient-disease associations, compare patient groups, and analyze treatment impacts, among other features.
- The framework is exemplified through six case studies, showcasing its application in patient stratification for pneumonia, survival analysis, cardiovascular risk evaluation, and bias detection in EHRs, with the goal of standardizing analysis pipelines in biomedical research.
Recent advances in multiplexed single-cell transcriptomics experiments facilitate the high-throughput study of drug and genetic perturbations. However, an exhaustive exploration of the combinatorial perturbation space is experimentally unfeasible. Therefore, computational methods are needed to predict, interpret, and prioritize perturbations.
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