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Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms
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| Zeitschriftentitel: | Frontiers in Oncology |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Frontiers in Oncology, 10, 2020 |
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Frontiers Media SA
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Zhang, Zhiqiao Li, Jing He, Tingshan Ding, Jianqiang Zhang, Zhiqiao Li, Jing He, Tingshan Ding, Jianqiang |
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Zhang, Zhiqiao Li, Jing He, Tingshan Ding, Jianqiang |
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Zhang, Zhiqiao Li, Jing He, Tingshan Ding, Jianqiang Frontiers in Oncology Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms Cancer Research Oncology |
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zhang, zhiqiao |
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Zhang, Zhiqiao Li, Jing He, Tingshan Ding, Jianqiang 2234-943X Frontiers Media SA Cancer Research Oncology http://dx.doi.org/10.3389/fonc.2020.00330 Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms Frontiers in Oncology |
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Frontiers in Oncology |
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| title |
Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_unstemmed |
Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
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Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
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Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_full_unstemmed |
Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_short |
Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_sort |
bioinformatics identified 17 immune genes as prognostic biomarkers for breast cancer: application study based on artificial intelligence algorithms |
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Cancer Research Oncology |
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http://dx.doi.org/10.3389/fonc.2020.00330 |
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| spelling | Zhang, Zhiqiao Li, Jing He, Tingshan Ding, Jianqiang 2234-943X Frontiers Media SA Cancer Research Oncology http://dx.doi.org/10.3389/fonc.2020.00330 Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms Frontiers in Oncology |
| spellingShingle | Zhang, Zhiqiao, Li, Jing, He, Tingshan, Ding, Jianqiang, Frontiers in Oncology, Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms, Cancer Research, Oncology |
| title | Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_full | Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_fullStr | Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_full_unstemmed | Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_short | Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| title_sort | bioinformatics identified 17 immune genes as prognostic biomarkers for breast cancer: application study based on artificial intelligence algorithms |
| title_unstemmed | Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms |
| topic | Cancer Research, Oncology |
| url | http://dx.doi.org/10.3389/fonc.2020.00330 |