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A merged lung cancer transcriptome dataset for clinical predictive modeling
The Gene Expression Omnibus (GEO) database is an excellent public source of whole transcriptomic profiles of multiple cancers. The main challenge is the limited accessibility of such large-scale genomic data to people without a background in bioinformatics or computer science. This presents difficul...
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| Publicado no: | Sci Data |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6057440/ https://ncbi.nlm.nih.gov/pubmed/30040079 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/sdata.2018.136 |
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