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  Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies

Blum, C. F., Heramvand, N., Khonsari, A. S., & Kollmann, M. (2018). Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies. Nature Communications, 9: 133. doi:10.1038/s41467-017-02489-x.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-4904-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-008F-C
Genre: Journal Article

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 Creators:
Blum, C. F.1, Author           
Heramvand, N.1, Author           
Khonsari, A. S.2, Author
Kollmann, M.2, Author
Affiliations:
1IMPRS, MPI for Plant Breeding Research, Max Planck Society, ou_1113573              
2external, ou_persistent22              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published online
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000419658100032
DOI: 10.1038/s41467-017-02489-x
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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 9 Sequence Number: 133 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723