Dropout events refer to the loss of certain transcriptome data during the measurement process, specifically in single-cell transcriptomics. These events can result in the absence of RNA transcripts that were not detected, leading to incomplete or skewed representations of a cell's gene expression profile. Understanding dropout events is crucial for interpreting the data accurately and improving methodologies for capturing true biological variability.
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