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developing scRNAseq data unsupervised clusterisation methods

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content-clust

here we try different approaches in scRNAseq that have one idea in common: zero gene expression has qualitive difference from any other value.

current directions of work:

1. gene hierarchy

Some genes are expressed only in case another gene is expressed. So we make an orgraph of genes where gene A is connected to gene B if all cells that express B, express A. Then we analyse the graph. You can see the full algorithm in src/source.cpp

2. Gower distance

Gower distance is a measure of simmilarity between objects by both quantitive and qualitive features. By now, no code on this theme is uploaded.

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