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FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5‐FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta‐analysis to identify differentially expressed genes (DEGs) between FOLFOX responders and nonresp...
Tallennettuna:
| Julkaisussa: | Cancer Med |
|---|---|
| Päätekijät: | , , , , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
John Wiley and Sons Inc.
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7013065/ https://ncbi.nlm.nih.gov/pubmed/31893575 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cam4.2786 |
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