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Vectorized pipelines for normalization and scaling of large-scale biological datasets.
Distinct from Data Preprocessing Pipelines: Focuses on genomic normalization and scaling rather than ML-specific tokenization or formatting
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Scanpy is a Python library for the preprocessing, visualization, and analysis of large-scale single-cell gene expression datasets. It serves as a toolkit for single-cell RNA sequencing analysis, providing a framework to process and analyze genomic data from individual cells to identify biological markers and cell types. The library includes a scalable data processing pipeline for cleaning and preparing genomic data, a clustering framework for grouping cells with similar expression profiles, and a system for modeling transitions between cell states to reconstruct biological development and dif
Provides vectorized preprocessing pipelines using NumPy and SciPy for high-throughput normalization and scaling of cell data.