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Identification of differentially expressed gene sets using the Generalized Berk–Jones statistic
MOTIVATION: Cancer genomics studies frequently aim to identify genes that are differentially expressed between clinically distinct patient subgroups, generally by testing single genes one at a time. However, the results of any individual transcriptomic study are often not fully reproducible. A parti...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6853697/ https://ncbi.nlm.nih.gov/pubmed/31062858 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz277 |
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