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Using singscore to predict mutation status in acute myeloid leukemia from transcriptomic signatures
Advances in RNA sequencing (RNA-seq) technologies that measure the transcriptome of biological samples have revolutionised our ability to understand transcriptional regulatory programs that underpin diseases such as cancer. We recently published singscore - a single sample, rank-based gene set scori...
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| Publicado no: | F1000Res |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
F1000 Research Limited
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6844140/ https://ncbi.nlm.nih.gov/pubmed/31723419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.19236.3 |
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