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自然遗传学(Nat Genet)18篇论文研究结果再现性分析

已有 3606 次阅读 2016-7-25 19:25 |个人分类:学术不端|系统分类:科研笔记



论文的替代计量得分 https://www.altmetric.com/details/118236

2009 Feb;41(2):149-55. doi: 10.1038/ng.295. Epub 2008 Jan 28.

Repeatability of published microarray gene expression analyses.

Author information
  • 1Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece. jioannid@cc.uoi.gr

Abstract

Given the complexity of microarray-based gene expression studies, guidelines encourage transparent design and public data availability. Several journals require public data deposition and several public databases exist. However, not all data are publicly available, and even when available, it is unknown whether the published results are reproducible by independent scientists. Here we evaluated the replication of data analyses in 18 articles on microarray-based gene expression profiling published in Nature Genetics in 2005-2006. One table or figure from each article was independently evaluated by two teams of analysts. We reproduced two analyses in principle and six partially or with some discrepancies; ten could not be reproduced. The main reason for failure to reproduce was data unavailability, and discrepancies were mostly due to incomplete data annotation or specification of data processing and analysis. Repeatability of published microarray studies is apparently limited. More strict publication rules enforcing public data availability and explicit description of data processing and analysis should be considered.

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[PubMed - indexed for MEDLINE]

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