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Predicting biomarkers for ovarian cancer using gene-expression microarrays
Ovarian cancer has the highest mortality rate of gynaecological cancers. This is partly due to the lack of effective screening markers. Here, we used oligonucleotide microarrays complementary to ∼12 000 genes to establish a gene-expression microarray (GEM) profile for normal ovarian tissue, as compa...
| Autores principales: | , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2004
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409606/ https://www.ncbi.nlm.nih.gov/pubmed/14760385 http://dx.doi.org/10.1038/sj.bjc.6601603 |