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Control of dataset bias in combined Affymetrix cohorts of triple negative breast cancer
Heterogenous subtypes of breast cancer need to be analyzed separately. Pooling of datasets can provide reasonable sample sizes but dataset bias is an important concern. We assembled a combined dataset of 579 Affymetrix microarrays from triple negative breast cancer (TNBC) in Gene Expression Omnibus...
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| Pubblicato in: | Genom Data |
|---|---|
| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4535974/ https://ncbi.nlm.nih.gov/pubmed/26484129 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.gdata.2014.09.014 |
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