# Differential Analysis

Powerful Partek Flow statistical analysis tools help identify differential expression patterns in the dataset. These can take into account a wide variety of data types and experimental designs.

* [DESeq2](https://help.multiomics.illumina.com/icm/analyses/analysis-functionality/task-menu/statistics/differential-analysis/deseq2-r-vs-deseq2)
* [Hurdle model](https://help.multiomics.illumina.com/icm/analyses/analysis-functionality/task-menu/statistics/differential-analysis/hurdle-model)
* [ANOVA/LIMMA-trend/LIMMA-voom](https://help.multiomics.illumina.com/icm/analyses/analysis-functionality/task-menu/statistics/differential-analysis/anova-limma-trend-limma-voom)
* [Welch's ANOVA](https://help.multiomics.illumina.com/icm/analyses/analysis-functionality/task-menu/statistics/differential-analysis/kruskal-wallis)
* [Kruskal-Wallis / Wilcoxon](https://help.multiomics.illumina.com/icm/analyses/analysis-functionality/task-menu/statistics/differential-analysis/kruskal-wallis-1)
* [Poisson /Negative binomial/GSA](https://help.multiomics.illumina.com/icm/analyses/analysis-functionality/task-menu/statistics/differential-analysis/gsa)
* [Troubleshooting](https://help.multiomics.illumina.com/icm/analyses/analysis-functionality/task-menu/statistics/differential-analysis/troubleshooting)