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| Published in: | Cancer Medicine |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301678626111492 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Cancer Medicine |
| description | |
| discipline_display | Oncology |
| discipline_facet | Oncology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:61143 |
| institution | FRELIP |
| journal_source_facet | Cancer Medicine |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data Oncology General Oncology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Oncology General Oncology Oncology General Oncology |
| subject_facet | Oncology General Oncology |
| title | Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data |
| title_auth | Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data |
| title_full | Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data |
| title_fullStr | Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data |
| title_full_unstemmed | Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data |
| title_short | Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data |
| title_sort | identification of key microbial signatures associated with breast cancer: machine learning‐based approaches using gut microbiome data |
| topic | Oncology General Oncology |
| url | https://onlinelibrary.wiley.com/doi/10.1002/cam4.72008?af=R |