svaseq: removing batch effects and other unwanted noise from sequencing data (Q30858102)

9 October 2017

svaseq: removing batch effects and other unwanted noise from sequencing data (English)

1 reference

9 October 2017

Jeffrey T Leek

1

1 reference

PMCID

4245966

9 October 2017

language of work or name

English

0 references

publication date

7 October 2014

1 reference

9 October 2017

Nucleic Acids Research

1 reference

9 October 2017

42

1 reference

9 October 2017

21

1 reference

Creative Commons Attribution 4.0 International

9 October 2017

start time

3 May 2017

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

describes a project that uses

limma

1 reference

22 June 2022

https://europepmc.org/article/PMC/4245966

based on heuristic

inferred from PubMed Central ID database lookup

cites work

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Silencing of odorant receptor genes by G protein βγ signaling ensures the expression of one odorant receptor per olfactory sensory neuron.

21 June 2018

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Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories

21 June 2018

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Transcriptome and genome sequencing uncovers functional variation in humans

21 June 2018

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21 June 2018

1 reference

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Learning from our GWAS mistakes: from experimental design to scientific method

21 June 2018

1 reference

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21 June 2018

1 reference

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21 June 2018

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Addressing challenges in the production and analysis of illumina sequencing data

21 June 2018

1 reference

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Sequencing technology does not eliminate biological variability

21 June 2018

1 reference

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Differential expression analysis for sequence count data

21 June 2018

1 reference

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Tackling the widespread and critical impact of batch effects in high-throughput data

21 June 2018

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Correction for hidden confounders in the genetic analysis of gene expression

21 June 2018

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RETRACTED: Genetic signatures of exceptional longevity in humans

21 June 2018

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21 June 2018

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A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies

21 June 2018

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Understanding mechanisms underlying human gene expression variation with RNA sequencing

21 June 2018

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Transcriptome genetics using second generation sequencing in a Caucasian population

21 June 2018

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Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments

21 June 2018

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21 June 2018

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A general framework for multiple testing dependence

21 June 2018

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21 June 2018

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Principal components analysis corrects for stratification in genome-wide association studies

21 June 2018

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Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies.

21 June 2018

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21 January 2018

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21 January 2018

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The Joint Null Criterion for Multiple Hypothesis Tests

21 January 2018

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21 January 2018

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20 June 2022

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Identifiers

DOI

10.1093/NAR/GKU864

1 reference

9 October 2017

1 reference

9 October 2017

1 reference

PMCID

4245966