Batch effects and pathway analysis: two potential perils in cancer studies involving DNA methylation array analysis. (Q41843564)

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29 February 2020

title

Batch effects and pathway analysis: two potential perils in cancer studies involving DNA methylation array analysis (English)

1 reference

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29 February 2020

0 references

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2

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29 February 2020

author name string

Kristin N Harper

series ordinal

1

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29 February 2020

Mary V Gamble

series ordinal

3

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29 February 2020

publication date

29 April 2013

1 reference

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Cancer Epidemiology, Biomarkers & Prevention

29 February 2020

published in

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29 February 2020

volume

22

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29 February 2020

issue

6

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29 February 2020

page(s)

1052-1060

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Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis

29 February 2020

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Comparison of different normalization assumptions for analyses of DNA methylation data from the cancer genome

6 June 2018

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6 June 2018

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6 June 2018

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Evidence for widespread changes in promoter methylation profile in human placenta in response to increasing gestational age and environmental/stochastic factors

6 June 2018

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6 June 2018

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Tobacco-smoking-related differential DNA methylation: 27K discovery and replication

6 June 2018

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DNA methylation array analysis identifies profiles of blood-derived DNA methylation associated with bladder cancer.

6 June 2018

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Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis

6 June 2018

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

6 June 2018

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Tissue-specific dysregulation of DNA methylation in aging

6 June 2018

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Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer.

6 June 2018

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Cytosine methylation dysregulation in neonates following intrauterine growth restriction

6 June 2018

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Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

6 June 2018

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In vitro analysis of integrated global high-resolution DNA methylation profiling with genomic imbalance and gene expression in osteosarcoma

6 June 2018

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An integrated genomic-based approach to individualized treatment of patients with advanced-stage ovarian cancer.

6 June 2018

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Common genetic variants account for differences in gene expression among ethnic groups

6 June 2018

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Adjusting batch effects in microarray expression data using empirical Bayes methods

6 June 2018

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Genome-wide methylation analysis identifies involvement of TNF-α mediated cancer pathways in prostate cancer

6 June 2018

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Sequence overlap between autosomal and sex-linked probes on the Illumina HumanMethylation27 microarray.

18 August 2018

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Distinct physiological states of Plasmodium falciparum in malaria-infected patients

18 August 2018

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On the design and analysis of gene expression studies in human populations

18 August 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/23629520

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Run batch effects potentially compromise the usefulness of genomic signatures for ovarian cancer

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/23629520

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1158/1055-9965.EPI-13-0114

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23629520 AND SRC:MED&resulttype=core&format=json

release_irc4cfyux5bsxee4wak2yvnx74

29 February 2020

Fatcat ID

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Fatcat

https://api.fatcat.wiki/v0/release/irc4cfyux5bsxee4wak2yvnx74

mapped directly with Wikidata item

24 November 2022

based on heuristic

1 reference

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29 February 2020

PubMed publication ID

23629520

1 reference