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Mining data and metadata from the gene expression omnibus
Publicly available gene expression datasets deposited in the Gene Expression Omnibus (GEO) are growing at an accelerating rate. Such datasets hold great value for knowledge discovery, particularly when integrated. Although numerous software platforms and tools have been developed to enable reanalysi...
Autores principales: | Wang, Zichen, Lachmann, Alexander, Ma’ayan, Avi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381352/ https://www.ncbi.nlm.nih.gov/pubmed/30594974 http://dx.doi.org/10.1007/s12551-018-0490-8 |
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