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A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning
Immunotherapy by using immune checkpoint inhibitors (ICI) has dramatically improved the treatment options in various cancers, increasing survival rates for treated patients. Nevertheless, there are heterogeneous response rates to ICI among different cancer types, and even in the context of patients...
Kaydedildi:
| Yayımlandı: | Cancers (Basel) |
|---|---|
| Asıl Yazarlar: | , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6827166/ https://ncbi.nlm.nih.gov/pubmed/31618839 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers11101562 |
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