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ScanGEO: parallel mining of high-throughput gene expression data
SUMMARY: Current options to mine publicly available gene expression data deposited in NCBI’s gene expression omnibus (GEO), such as the GEO web portal and related applications, are optimized to reanalyze a single study, or search for a single gene, and therefore require manual intervention to reanal...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860173/ https://ncbi.nlm.nih.gov/pubmed/29036513 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx452 |
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