Identification and optimization of classifier genes from multi-class earthworm microarray dataset (Q28748674)

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Edward J Perkins

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Chaoyang Zhang

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Ping Gong

Creative Commons CC0 License

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language of work or name

English

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publication date

28 October 2010

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e13715

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start time

28 October 2010

1 reference

April 2022 Public Data File from Crossref

copyrighted, dedicated to the public domain by copyright holder

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cites work

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A review of feature selection techniques in bioinformatics

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Unsupervised pattern recognition: an introduction to the whys and wherefores of clustering microarray data

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Differential coexpression analysis using microarray data and its application to human cancer

3 June 2018

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Transcriptomic analysis of RDX and TNT interactive sublethal effects in the earthworm Eisenia fetida

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Toxicogenomic analysis provides new insights into molecular mechanisms of the sublethal toxicity of 2,4,6-trinitrotoluene in Eisenia fetida

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Gene expression analysis reveals a gene set discriminatory to different metals in soil.

21 January 2018

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DNA microarray-based ecotoxicological biomarker discovery in a small fish model species

21 January 2018

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Expression profiling of endocrine-disrupting compounds using a customized Cyprinus carpio cDNA microarray.

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Robust biomarker identification for cancer diagnosis with ensemble feature selection methods

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A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.

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Valosine-containing proteins (VCP) in an annelid: identification of a novel spermatogenesis related factor.

21 January 2018

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Changed profile of splicing regulator genes expression in response to exercise.

21 January 2018

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Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates

21 January 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/21060837

12 December 2020

inferred from PubMed ID database lookup

Hepatic transcriptomic profiles of European flounder (Platichthys flesus) from field sites and computational approaches to predict site from stress gene responses following exposure to model toxicants

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PubMed

https://pubmed.ncbi.nlm.nih.gov/21060837

12 December 2020

inferred from PubMed ID database lookup

GALGO: an R package for multivariate variable selection using genetic algorithms

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PubMed

https://pubmed.ncbi.nlm.nih.gov/21060837

12 December 2020

inferred from PubMed ID database lookup

Identifiers

DOI

10.1371/JOURNAL.PONE.0013715

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ADS bibcode

2010PLoSO...513715L

0 references

Fatcat ID

release_3jtcsaqoengpfp2bbhsqnr2bnu

1 reference

Fatcat

https://api.fatcat.wiki/v0/release/3jtcsaqoengpfp2bbhsqnr2bnu

24 November 2022