(Q33867419)

29 July 2017

title

Assessment of a 44 gene classifier for the evaluation of chronic fatigue syndrome from peripheral blood mononuclear cell gene expression (English)

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29 July 2017

main subject

chronic fatigue syndrome

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4

Paul Kellam

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author name string

Daniel Frampton

series ordinal

1

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29 July 2017

Jonathan Kerr

series ordinal

2

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29 July 2017

Tim J Harrison

series ordinal

3

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29 July 2017

language of work or name

English

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publication date

30 March 2011

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29 July 2017

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29 July 2017

volume

6

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29 July 2017

issue

3

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29 July 2017

page(s)

e16872

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Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome

29 July 2017

cites work

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3068152

Evidence of inflammatory immune signaling in chronic fatigue syndrome: A pilot study of gene expression in peripheral blood

28 July 2018

1 reference

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Identification of marker genes for differential diagnosis of chronic fatigue syndrome

28 July 2018

1 reference

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TM4 microarray software suite

28 July 2018

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Gene expression profile exploration of a large dataset on chronic fatigue syndrome

28 July 2018

1 reference

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28 July 2018

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28 July 2018

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The economic impact of chronic fatigue syndrome

28 July 2018

1 reference

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Knowledge-based analysis of microarray gene expression data by using support vector machines

28 July 2018

1 reference

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A community-based study of chronic fatigue syndrome

28 July 2018

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Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis.

21 January 2018

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A gene signature for post-infectious chronic fatigue syndrome

21 January 2018

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Gene expression in peripheral blood mononuclear cells from patients with chronic fatigue syndrome

21 January 2018

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Gene expression subtypes in patients with chronic fatigue syndrome/myalgic encephalomyelitis.

21 January 2018

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Kaposi's sarcoma-associated herpesvirus-infected primary effusion lymphoma has a plasma cell gene expression profile

21 January 2018

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Gene expression profiling predicts clinical outcome of breast cancer

21 January 2018

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Robust Selection of Predictive Genes via a Simple Classifier

21 January 2018

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Artificial neural networks and gene filtering distinguish between global gene expression profiles of Barrett's esophagus and esophageal cancer.

21 January 2018

1 reference

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10.1371/JOURNAL.PONE.0016872

29 October 2018

Identifiers

DOI

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29 July 2017

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29 July 2017

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