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Comment
. 2015 Jul 14;112(28):E3637.
doi: 10.1073/pnas.1507563112. Epub 2015 Jun 23.

Metaanalysis of flawed expression profiling data leading to erroneous Parkinson's biomarker identification

Lilah Toker  1 , Paul Pavlidis  2
Affiliations
Comment

Metaanalysis of flawed expression profiling data leading to erroneous Parkinson's biomarker identification

Lilah Toker et al. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

The authors declare no conflict of interest.

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References

    1. Santiago JA, Potashkin JA. Network-based metaanalysis identifies HNF4A and PTBP1 as longitudinally dynamic biomarkers for Parkinson’s disease. Proc Natl Acad Sci USA. 2015;112(7):2257–2262. - PMC - PubMed
    1. Potashkin JA, Santiago JA, Ravina BM, Watts A, Leontovich AA. Biosignatures for Parkinson’s disease and atypical parkinsonian disorders patients. PLoS ONE. 2012;7(8):e43595. - PMC - PubMed
    1. Santiago JA, Scherzer CR, Potashkin JA. Network analysis identifies SOD2 mRNA as a potential biomarker for Parkinson’s disease. PLoS ONE. 2014;9(10):e109042. - PMC - PubMed
    1. Xia J, et al. INMEX—A web-based tool for integrative meta-analysis of expression data. Nucleic Acids Res. 2013;41(Web Server issue) W1:W63–W70. - PMC - PubMed

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