(Q38254343)

1 September 2017

title

Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies (English)

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1 September 2017

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1

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1 September 2017

Donghwan Lee

2

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Erik Ingelsson

series ordinal

3

object named as

Erik Ingelsson

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1 September 2017

4

Yudi Pawitan

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1 September 2017

publication date

24 September 2014

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Briefings in Bioinformatics

1 September 2017

published in

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1 September 2017

volume

16

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1 September 2017

issue

4

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1 September 2017

page(s)

563-575

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Evaluation of excess significance bias in animal studies of neurological diseases

1 September 2017

cites work

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21 January 2018

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Most published research findings are false-but a little replication goes a long way

21 January 2018

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21 January 2018

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21 January 2018

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Bias in the estimation of false discovery rate in microarray studies

21 January 2018

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Estimation of false discovery proportion under general dependence

21 January 2018

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Estimating the total number of susceptibility variants underlying complex diseases from genome-wide association studies.

21 January 2018

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Distribution of allele frequencies and effect sizes and their interrelationships for common genetic susceptibility variants

21 January 2018

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The Swedish Twin Registry: a unique resource for clinical, epidemiological and genetic studies

21 January 2018

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Risk prediction measures for case-cohort and nested case-control designs: an application to cardiovascular disease

21 January 2018

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A comparison of three different methods to evaluate endothelium-dependent vasodilation in the elderly: the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study

21 January 2018

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XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification

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NIH mulls rules for validating key results

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Identifiers

DOI

10.1093/BIB/BBU033

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1 September 2017

DBLP publication ID

journals/bib/GannaLIP15

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DBLP Dataset 2021-01-02

28 January 2021

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