| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1093059454 |
| P356 | DOI | 10.1186/S13073-017-0493-2 |
| P932 | PMC publication ID | 5706302 |
| P698 | PubMed publication ID | 29183400 |
| P50 | author | Ewa Szczurek | Q41044578 |
| Niko Beerenwinkel | Q47134273 | ||
| P2093 | author name string | Thomas Sakoparnig | |
| Kee Pang Soh | |||
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| P433 | issue | 1 | |
| P304 | page(s) | 104 | |
| P577 | publication date | 2017-11-28 | |
| P1433 | published in | Genome Medicine | Q15816848 |
| P1476 | title | Predicting cancer type from tumour DNA signatures. | |
| P478 | volume | 9 |
| Q89555837 | A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns |
| Q61799424 | Epigenetic Biomarkers in Cell-Free DNA and Applications in Liquid Biopsy |
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| Q95841155 | The Quest for Improving Treatment of Cancer of Unknown Primary (CUP) Through Molecularly-Driven Treatments: A Systematic Review |
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