@@ -4,7 +4,7 @@ This toolkit currently offers enrichment analysis, hierarchical enrichment analy
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@@ -4,7 +4,7 @@ This toolkit currently offers enrichment analysis, hierarchical enrichment analy
Several novel algorithms have been invented as of this repository by the [author](https://richardtjornhammar.github.io/). Some of the algorithms rely on old scientific litterature, but still consitutes new/novel code implementations.
Several novel algorithms have been invented as of this repository by the [author](https://richardtjornhammar.github.io/). Some of the algorithms rely on old scientific litterature, but still consitutes new/novel code implementations.
These novel algorithms include but are not limited to:
These novel algorithms include but are not limited to:
* A graph construction and graph searching class can be found in src/impetuous/convert.py (GraphNode). It was developed and invented as a faster alternative for hierarchical DAG construction and searching.
* A graph construction and graph searching class can be found in src/impetuous/convert.py (NodeGraph). It was developed and invented as a faster alternative for hierarchical DAG construction and searching.
* A fast DBSCAN method utilizing [my](https://richardtjornhammar.github.io/) connectivity code as invented during my PhD.
* A fast DBSCAN method utilizing [my](https://richardtjornhammar.github.io/) connectivity code as invented during my PhD.
* Hierarchical enrichment routine with conservative or lax extinction of evidence already accounted for. Used for multiple hypothesis testing.
* Hierarchical enrichment routine with conservative or lax extinction of evidence already accounted for. Used for multiple hypothesis testing.
* A q-value method for rank correcting p-values. The computation differs from other methods.
* A q-value method for rank correcting p-values. The computation differs from other methods.