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Inferring Gene Regulatory Networks and Predicting the Effect of Gene Perturbations via IQCELL.
Heydari, Tiam; Zandstra, Peter W.
Affiliation
  • Heydari T; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
  • Zandstra PW; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Methods Mol Biol ; 2767: 251-262, 2024.
Article in En | MEDLINE | ID: mdl-36790623
ABSTRACT
IQCELL is a platform that infers Boolean gene regulatory networks from single-cell RNA sequencing data. Boolean networks can be simulated under normal and perturbed conditions. In this chapter, we provide a detailed guideline for implementing IQCELL from a raw dataset. The steps include processing data, inferring informative genes, inferring gene regulatory network, and simulating the resulted network under normal and perturbed conditions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Gene Regulatory Networks Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Gene Regulatory Networks Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: