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Set Operations with freeCount

In general, set operations are very useful for comparing lists of things. These lists can contain any strings, such as gene or species names. Set operations are also a good way to identify unique or shared genes across sets of analysis results. The freeCount SO app will help you perform set operations with gene lists,…

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Functional Analysis of Networks with freeCount

Functional analysis is useful for determining the functions of a set of interesting genes. These gene sets can be lists of genes produced from different analysis, including weighted gene co-expression network analysis (WGCNA). The freeCount FA app will help you perform functional analysis of gene sets, which can be produced from differential expression (DE) or…

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Network Analysis with freeCount

Weighted gene co-expression network analysis (WGCNA) is used to investigate the function of genes at the system-level. In a network analysis genes with similar patterns of expression are grouped together into modules. The sets of genes in these modules are co-expressed as a result of shared biological functions, pathways, tissues, traits, etc. The freeCount NA…

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Functional Analysis with freeCount

Functional analysis is useful for determining the functions of differentially expressed genes. Genes can have multiple functional annotations, so we need to determine which ones are important. The freeCount FA app will help you perform functional analysis of gene sets, which can be produced from differential expression or network analysis.

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