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Explore the use of autoencoders to compress gene expression data and improve data analysis and visualization.
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A quick tour of biocpy, the first Python framework to deliver Bioconductor-style data structures and workflows for genomic data analysis.
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Learn how to implement a tidy and expressive R-like data analysis pipeline in Python, complete with dplyr-style transformations and ggplot-style plots.
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There is more than just tSNE and UMAP in Single Cell Dimensional Reduction. In this post I will check Phate.
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Pseudotime trajectories and RNA velocity are computational approaches to analyze single cell dynamical process but, do they tell the same history?
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Unlock the power of Scanpy! Discover how to efficiently store and manage single-cell RNA-seq data using AnnData in Python.
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