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Practical impacts of genomic data “cleaning” on biological discovery using surrogate variable analysis
BACKGROUND: Genomic data production is at its highest level and continues to increase, making available novel primary data and existing public data to researchers for exploration. Here we explore the consequences of “batch” correction for biological discovery in two publicly available expression dat...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4636836/ https://ncbi.nlm.nih.gov/pubmed/26545828 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0808-5 |
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