arboreto
k-dense-ai1.7k installs
Turn expression data into ranked regulatory candidates.
What it does
Ranks candidate regulator–target associations from expression data and produces a gene regulatory network for stability assessment.
When to use it
Use when ranking candidate regulator–target associations from expression measurements; the associations do not establish causal regulation.
How to use it
Give it an expression matrix and optionally a transcription-factor list; it saves a ranked network as a headerless TSV.
What you provide
- Your files
Uses
Good to know
- advertises something the task does not need
Latest review
What you need · 8
Requires an isolated Python 3.11 environment; the documented compatibility tests used Python 3.11.11.
Requires arboreto 0.1.6 as part of the exact compatibility stack.
Access · 2
This skill
arXiv
Read
Fetches the library's citation record
arboreto
Execute
Installs Arboreto's pinned compatibility stack