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A deep learning model to classify neoplastic state and tissue origin from transcriptomic data
Application of deep learning methods to transcriptomic data has the potential to enhance the accuracy and efficiency of tissue classification and cell state identification. Herein, we developed a multitask deep learning model for tissue classification combining publicly available whole transcriptomi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188604/ https://www.ncbi.nlm.nih.gov/pubmed/35690622 http://dx.doi.org/10.1038/s41598-022-13665-5 |