Selecting precise reference normal tissue samples for cancer research using a deep learning approach
Abstract Background Normal tissue samples are often employed as a control for understanding disease mechanisms, however, collecting matched normal tissues from patients is difficult in many instances. In cancer research, for example, the open cancer resources such as TCGA and TARGET do not provide m...
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
BMC
2019-01-01
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| Sarja: | BMC Medical Genomics |
| Aiheet: | |
| Linkit: | http://link.springer.com/article/10.1186/s12920-018-0463-6 |