Harissa: tools for mechanistic gene network inference from single-cell data - Archive ouverte HAL
Logiciel Année : 2023

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

Résumé

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 et versions

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

Identifiants

Citer

Ulysse Herbach. Harissa: tools for mechanistic gene network inference from single-cell data. 2023, ⟨swh:1:dir:ce3eb0558c7aa354d42f27a537ba110702b06ca2⟩. ⟨hal-03370296v1⟩
311 Consultations
31 Téléchargements

Partager

More