TreeQTL: Hierarchical error control for eQTL findings

C. B. Peterson; M. Bogomolov; Y. Benjamini; C. Sabatti

doi:10.1093/bioinformatics/btw198

TreeQTL: Hierarchical error control for eQTL findings

C. B. Peterson, M. Bogomolov, Y. Benjamini, C. Sabatti

Technion - Israel Institute of Technology, Tel Aviv University

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: Commonly used multiplicity adjustments fail to control the error rate for reported findings in many expression quantitative trait loci (eQTL) studies. TreeQTL implements a hierarchical multiple testing procedure which allows control of appropriate error rates defined relative to a grouping of the eQTL hypotheses.

Original language	English
Pages (from-to)	2556-2558
Number of pages	3
Journal	Bioinformatics
Volume	32
Issue number	16
DOIs	https://doi.org/10.1093/bioinformatics/btw198
State	Published - 15 Aug 2016

All Science Journal Classification (ASJC) codes

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btw198

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title = "TreeQTL: Hierarchical error control for eQTL findings",

abstract = "Summary: Commonly used multiplicity adjustments fail to control the error rate for reported findings in many expression quantitative trait loci (eQTL) studies. TreeQTL implements a hierarchical multiple testing procedure which allows control of appropriate error rates defined relative to a grouping of the eQTL hypotheses.",

author = "Peterson, {C. B.} and M. Bogomolov and Y. Benjamini and C. Sabatti",

year = "2016",

month = aug,

day = "15",

doi = "10.1093/bioinformatics/btw198",

language = "الإنجليزيّة",

volume = "32",

pages = "2556--2558",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

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TY - JOUR

T1 - TreeQTL

T2 - Hierarchical error control for eQTL findings

AU - Peterson, C. B.

AU - Bogomolov, M.

AU - Benjamini, Y.

AU - Sabatti, C.

PY - 2016/8/15

Y1 - 2016/8/15

N2 - Summary: Commonly used multiplicity adjustments fail to control the error rate for reported findings in many expression quantitative trait loci (eQTL) studies. TreeQTL implements a hierarchical multiple testing procedure which allows control of appropriate error rates defined relative to a grouping of the eQTL hypotheses.

AB - Summary: Commonly used multiplicity adjustments fail to control the error rate for reported findings in many expression quantitative trait loci (eQTL) studies. TreeQTL implements a hierarchical multiple testing procedure which allows control of appropriate error rates defined relative to a grouping of the eQTL hypotheses.

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U2 - 10.1093/bioinformatics/btw198

DO - 10.1093/bioinformatics/btw198

M3 - مقالة

C2 - 27153635

SN - 1367-4803

VL - 32

SP - 2556

EP - 2558

JO - Bioinformatics

JF - Bioinformatics

IS - 16

ER -

TreeQTL: Hierarchical error control for eQTL findings

Abstract

All Science Journal Classification (ASJC) codes

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