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.
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Nature Portfolio
2020
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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) |
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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 |