Abstract
Researchers often face the need to collect, explore, correlate, analyze, and classify different data sources to discover unknown relationships while performing basic steps of pattern recognition and regression analysis with classification. PEAK is a Python tool designed to make easier all of these the basic steps of pattern recognition, allowing less experienced users to reduce the time required for analysing data and promoting the discovery of unknown relationships between different data. As a working example, we applied PEAK to a specific case study dealing with a well-defined dataset representing a cohort of COVID-19 10000 digital twins with different immunological characteristics.
PEAK is a freely available open-source software. It runs on all platforms that support Python3. The user manual and source code are accessible following this link: https://github.com/Pex2892/PEAK.
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Sgroi, G., Parasiliti Palumbo, G.A., Di Salvatore, V., Russo, G., Pappalardo, F. (2021). PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19. In: Rojas, I., Castillo-Secilla, D., Herrera, L.J., Pomares, H. (eds) Bioengineering and Biomedical Signal and Image Processing. BIOMESIP 2021. Lecture Notes in Computer Science(), vol 12940. Springer, Cham. https://doi.org/10.1007/978-3-030-88163-4_31
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