Materia: Genètica
Derechos de acceso: info:eu-repo/semantics/openAccess
Identificador del investigador: 0000-0002-8140-6525
Publicado por (editorial): Universitat Rovira i Virgili (URV)
Publicaciones relacionadas: Suriyalaksh, M., Raimondi, C., Mains, A., Segonds-Pichon, A., Mukhtar, S., Murdoch, S., Aldunate, R., Krueger, F., Guimerà, R., Andrews, S., Sales-Pardo, M., & Casanueva, O. (2022). Gene regulatory network inference in long-lived C. elegans reveals modular properties that are predictive of novel aging genes. iScience, 25(1), 103663. https://doi.org/10.1016/j.isci.2021.103663
Resumen: This repository contains the Supplementary Tables for Suriyalaksh et al. Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes.
Departamento: Enginyeria Química
DOI: 10.5281/zenodo.5499464
Tipo de documento: info:eu-repo/semantics/other
DOI de la publicación relacionada: 10.1016/j.isci.2021.103663
Fecha alta repositorio: 2021-09-14
Autor: Sales-Pardo, Marta
Palabras clave: GRN inference, stochastic block models, glp-1 C. elegans, ageing, lifespan screens
Grupo de investigación: Network and Data Science
Año de publicación de la dataset: 2021
Título del conjunto de datos: Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes - Supplementary Tables
Repositori URV