Gene regulatory network inference from sparsely sampled noisy data

Gene regulatory network inference is a topical problem in systems biology. Here, the authors presents BINGO, a powerful method for network inference from time series data.

Guardado en:
Detalles Bibliográficos
Autores principales: Atte Aalto, Lauri Viitasaari, Pauliina Ilmonen, Laurent Mombaerts, Jorge Gonçalves
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Q
Acceso en línea:https://doaj.org/article/ab5b9696e0eb4f948944482518584fb9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:ab5b9696e0eb4f948944482518584fb9
record_format dspace
spelling oai:doaj.org-article:ab5b9696e0eb4f948944482518584fb92021-12-02T18:31:30ZGene regulatory network inference from sparsely sampled noisy data10.1038/s41467-020-17217-12041-1723https://doaj.org/article/ab5b9696e0eb4f948944482518584fb92020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17217-1https://doaj.org/toc/2041-1723Gene regulatory network inference is a topical problem in systems biology. Here, the authors presents BINGO, a powerful method for network inference from time series data.Atte AaltoLauri ViitasaariPauliina IlmonenLaurent MombaertsJorge GonçalvesNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Atte Aalto
Lauri Viitasaari
Pauliina Ilmonen
Laurent Mombaerts
Jorge Gonçalves
Gene regulatory network inference from sparsely sampled noisy data
description Gene regulatory network inference is a topical problem in systems biology. Here, the authors presents BINGO, a powerful method for network inference from time series data.
format article
author Atte Aalto
Lauri Viitasaari
Pauliina Ilmonen
Laurent Mombaerts
Jorge Gonçalves
author_facet Atte Aalto
Lauri Viitasaari
Pauliina Ilmonen
Laurent Mombaerts
Jorge Gonçalves
author_sort Atte Aalto
title Gene regulatory network inference from sparsely sampled noisy data
title_short Gene regulatory network inference from sparsely sampled noisy data
title_full Gene regulatory network inference from sparsely sampled noisy data
title_fullStr Gene regulatory network inference from sparsely sampled noisy data
title_full_unstemmed Gene regulatory network inference from sparsely sampled noisy data
title_sort gene regulatory network inference from sparsely sampled noisy data
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/ab5b9696e0eb4f948944482518584fb9
work_keys_str_mv AT atteaalto generegulatorynetworkinferencefromsparselysamplednoisydata
AT lauriviitasaari generegulatorynetworkinferencefromsparselysamplednoisydata
AT pauliinailmonen generegulatorynetworkinferencefromsparselysamplednoisydata
AT laurentmombaerts generegulatorynetworkinferencefromsparselysamplednoisydata
AT jorgegoncalves generegulatorynetworkinferencefromsparselysamplednoisydata
_version_ 1718377938489966592