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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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| 出版年: | Sci Data |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group
2018
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| 主題: | |
| オンライン･アクセス: | 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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