Using singscore to predict mutation status in acute myeloid leukemia from transcriptomic signatures [version 3; peer review: 2 approved]
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2019-10-01
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| Series: | F1000Research |
| Online Access: | https://f1000research.com/articles/8-776/v3 |