Single-cell DNA sequencing produces sparse, noisy variant calls. Genmod work at the single-cell level demands probabilistic models that account for allelic dropout and amplification bias. Tools like are in early development.
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The in SAS is a powerful tool for fitting generalized linear models (GLMs) . It extends traditional linear regression by allowing for response variables that follow non-normal distributions—such as binary, count, or multinomial data—and using a "link function" to relate the response to the predictors. Core Capabilities of PROC GENMOD Single-cell DNA sequencing produces sparse