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  Selection of Higher Order Regression Models in the Analysis of Multi-Factorial Transcription Data

Prazeres da Costa, O., Hoffman, A., Rey, J. W., Mansmann, U., Buch, T., & Tresch, A. (2014). Selection of Higher Order Regression Models in the Analysis of Multi-Factorial Transcription Data. PLOS ONE, 9(3): e91840. doi:10.1371/journal.pone.0091840.

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Prazeres da Costa_plos_one_2014_OA.pdf (Publisher version), 708KB
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 Creators:
Prazeres da Costa, O.1, Author
Hoffman, A.1, Author
Rey, J. W.1, Author
Mansmann, U.1, Author
Buch, T.1, Author
Tresch, A.2, Author              
Affiliations:
1external, ou_persistent22              
2Independent Research Groups, MPI for Plant Breeding Research, Max Planck Society, ou_1113574              

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Language(s): eng - English
 Dates: 2014
 Publication Status: Published online
 Pages: 8
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 Table of Contents: -
 Rev. Type: -
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Title: PLOS ONE
Source Genre: Journal
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Publ. Info: 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA : PUBLIC LIBRARY SCIENCE
Pages: - Volume / Issue: 9 (3) Sequence Number: e91840 Start / End Page: - Identifier: ISSN: 1932-6203