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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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Sci Data
Asıl Yazarlar: Lim, Su Bin, Tan, Swee Jin, Lim, Wan-Teck, Lim, Chwee Teck
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group 2018
Konular:
Data Descriptor
Online Erişim: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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