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  Inner Composition Alignment for Inferring Directed Networks from Short Time Series

Hempel, S., Kurths, J., Koseska, A., & Nikoloski, Z. (2011). Inner Composition Alignment for Inferring Directed Networks from Short Time Series. Physical Review Letters, 107(5), 054101. doi:10.1103/Physrevlett.107.054101.

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 Creators:
Hempel, S.1, Author              
Kurths, J.2, Author
Koseska, Aneta2, Author
Nikoloski, Z.1, Author              
Affiliations:
1Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310              
2External Organizations, ou_persistent22              

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Free keywords: causality motifs
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Language(s): eng - English
 Dates: 2011-07-262011
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: ISI:000293132300004
DOI: 10.1103/Physrevlett.107.054101
ISSN: 1079-7114 (Electronic)0031-9007 (Linking)
URI: ://000293132300004http://prl.aps.org/pdf/PRL/v107/i5/e054101
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Title: Physical Review Letters
  Other : Phys. Rev. Lett.
Source Genre: Journal
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Publ. Info: Woodbury, N.Y. : American Physical Society
Pages: - Volume / Issue: 107 (5) Sequence Number: - Start / End Page: 054101 Identifier: ISSN: 0031-9007
CoNE: https://pure.mpg.de/cone/journals/resource/954925433406_1