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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Detalles Bibliográficos
Autores principales: Lim, Su Bin, Tan, Swee Jin, Lim, Wan-Teck, Lim, Chwee Teck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057440/
https://www.ncbi.nlm.nih.gov/pubmed/30040079
http://dx.doi.org/10.1038/sdata.2018.136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057440/
https://www.ncbi.nlm.nih.gov/pubmed/30040079
http://dx.doi.org/10.1038/sdata.2018.136

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