Harissa: tools for mechanistic gene network inference from single-cell data - Archive ouverte HAL Access content directly
Software Year : 2023

Harissa: tools for mechanistic gene network inference from single-cell data

Abstract

Harissa (HARtree approximation for Inference along with a Stochastic Simulation Algorithm) is a Python package for both inference and simulation of gene regulatory networks, based on stochastic gene expression with transcriptional bursting. It was implemented in the context of a mechanistic approach to gene regulatory network inference from single-cell data.

Dates and versions

hal-03370296 , version 1 (07-10-2021)
hal-03370296 , version 2 (24-05-2023)

Identifiers

Cite

Ulysse Herbach. Harissa: tools for mechanistic gene network inference from single-cell data. 2023, ⟨swh:1:dir:315fa8cdb8abd2801f545dca59dd136584572a3d⟩. ⟨hal-03370296v2⟩
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