Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd
A wealth of gene expression data is publicly available, yet is little use without additional human curation. Ma’ayan and colleagues report a crowdsourcing project involving over 70 participants to annotate and analyse thousands of human disease-related gene expression datasets.
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Auteurs principaux: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2016
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Accès en ligne: | https://doaj.org/article/a8f2b28d890e4a0e99fc75b9634da8c0 |
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