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  "Title": "Differential Variability (DV) analysis for single-cell RNA\nsequencing data. (e.g. Identify Differentially Variable Genes\nacross two experimental conditions)",
  "Description": "A spline based scRNA-seq method for identifying\ndifferentially variable (DV) genes across two experimental\nconditions. Spline-DV constructs a 3D spline from 3 key gene\nstatistics: mean expression, coefficient of variance, and\ndropout rate. This is done for both conditions. The 3D spline\nprovides the “expected” behavior of genes in each condition.\nThe distance of the observed mean, CV and dropout rate of each\ngene from the expected 3D spline is used to measure\nvariability. As the final step, the spline-DV method compares\nthe variabilities of each condition to identify differentially\nvariable (DV) genes.",
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        "Beyond averages gene expression changes",
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        "Running Spline-DV",
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