GSM933593[Accession] - GEO DataSets

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Items: 3

Select item 2000380701.

Discovery and validation of gene classifiers for endocrine disrupting chemicals in Zebrafish (Danio rerio)

(Submitter supplied) Background: Development and application of transcriptomics-based gene classifiers for ecotoxicological applications lag far behind those of human biomedical science. Many such classifiers discovered thus far lack vigorous statistical and experimental validations, with their stability and reliability unknown. A combination of genetic algorithm/support vector machines and genetic algorithm/K nearest neighbors were used in this study to search for classifiers of endocrine disrupting chemicals (EDCs) in zebrafish. more...

Organism:: Danio rerio

Type:: Expression profiling by array

Platforms:: GPL7301 GPL7244 GPL7302
318 Samples

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Accession:: GSE38070

ID:: 200038070

PubMed Full text in PMC Similar studies

Select item 1000073022.

Agilent-015064 D. rerio (Zebrafish) Oligo Microarray 4x44K G2519F (Probe Name version)

(Submitter supplied) Design ID: 015064 Agilent has developed a genome-wide zebrafish microarray to enable scientists to study gene expression profiling at the global level and enhance our understanding of zebrafish biology and gene functions related to mammalian models. *** The ID column includes the Agilent Probe Names. A different version of this platform with the Agilent Feature Extraction feature numbers in the ID column is assigned accession number GPL6563. more...