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non machine learning model tool
for machine learning model tool for passage variability -
Python and R specific
Dynamic Passage Variability Test Tool (PAVATE)
non machine learning model tool
Analyze variability in cell culture data across multiple passages. Input cell counts, viability, doubling times, confluence percentages, and additional features to calculate key statistics and visualize trends. The tool offers:
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Coefficient of Variation
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Correlations
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Cosine Similarities
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Z-Scores
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Normalized Values
Visualize your data with an interactive line chart for comprehensive insights.
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