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Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods
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| Published in: | Discover Oncology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867664056674942976 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Oncology |
| description | |
| discipline_display | Endocrinology |
| discipline_facet | Endocrinology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:89808 |
| institution | FRELIP |
| journal_source_facet | Discover Oncology |
| last_indexed | 2026-06-11T02:00:41.891Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods Endocrinology General Endocrinology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Endocrinology General Endocrinology Endocrinology General Endocrinology |
| subject_facet | Endocrinology General Endocrinology |
| title | Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods |
| title_auth | Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods |
| title_full | Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods |
| title_fullStr | Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods |
| title_full_unstemmed | Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods |
| title_short | Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods |
| title_sort | identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods |
| topic | Endocrinology General Endocrinology |
| url | https://link.springer.com/article/10.1007/s12672-026-05402-5 |