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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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2016
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Subjects: | |
Online Access: | https://doaj.org/article/a8f2b28d890e4a0e99fc75b9634da8c0 |
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