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Genomic data sampling and its effect on classification performance assessment
scientific article
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instance of
scholarly article
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title
Genomic data sampling and its effect on classification performance assessment
(English)
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author name string
Francisco Azuaje
series ordinal
1
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language of work or name
English
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publication date
28 January 2003
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published in
BMC Bioinformatics
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volume
4
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issue
1
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page(s)
5
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exact match
https://scigraph.springernature.com/pub.10.1186/1471-2105-4-5
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cites work
Computational method for reducing variance with Affymetrix microarrays
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PubMed Central
reference URL
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7 April 2017
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
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7 April 2017
Integrated genomic and proteomic analyses of a systematically perturbed metabolic network
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7 April 2017
Molecular classification of cutaneous malignant melanoma by gene expression profiling
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7 April 2017
Small sample issues for microarray-based classification
1 reference
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PubMed Central
reference URL
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28 September 2017
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
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28 September 2017
The effect of data sampling on the performance evaluation of artificial neural networks in medical diagnosis
1 reference
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PubMed Central
reference URL
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28 September 2017
In silico approaches to microarray-based disease classification and gene function discovery.
1 reference
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PubMed Central
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28 November 2018
A computational neural approach to support the discovery of gene function and classes of cancer.
1 reference
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PubMed Central
reference URL
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retrieved
28 November 2018
Identifiers
DOI
10.1186/1471-2105-4-5
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DBLP publication ID
journals/bmcbi/Azuaje03
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stated in
DBLP Dataset 2021-01-02
retrieved
28 January 2021
Dimensions Publication ID
1046163250
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PMCID
149349
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PubMed ID
12553886
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ResearchGate publication ID
10929106
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