# Normalization and scaling

To ensure that different data sets are comparable, several normalization and scaling options are available in Partek Flow. These include newly-developed algorithms specifically tailored for genomic analysis.

* [Impute low expression](https://github.com/illumina-swi/partek-docs/blob/main/docs/partek-flow/user-manual/task-menu/normalization-and-scaling/imput-low-expression.md)
* [Impute missing values](https://help.connected.illumina.com/partek/partek-flow/user-manual/task-menu/normalization-and-scaling/impute-missing-values)
* [Normalization](https://help.connected.illumina.com/partek/partek-flow/user-manual/task-menu/normalization-and-scaling/normalization)
* [Normalize to baseline](https://help.connected.illumina.com/partek/partek-flow/user-manual/task-menu/normalization-and-scaling/normalize-to-baseline)
* [Normalize to housekeeping genes](https://help.connected.illumina.com/partek/partek-flow/user-manual/task-menu/normalization-and-scaling/normalize-to-housekeeping-genes)
* [Scran deconvolution](https://help.connected.illumina.com/partek/partek-flow/user-manual/task-menu/normalization-and-scaling/scran-deconvolution)
* [SCTransform](https://help.connected.illumina.com/partek/partek-flow/user-manual/task-menu/normalization-and-scaling/sctransform)
* [TF-IDF normalization](https://help.connected.illumina.com/partek/partek-flow/user-manual/task-menu/normalization-and-scaling/tf-idf-normalization)