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| Published in: | PLOS ONE |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1864030191120023552 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | PLOS ONE |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:9216 |
| institution | FRELIP |
| journal_source_facet | PLOS ONE |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data Cybersecurity, Cryptography and Privacy Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Cybersecurity, Cryptography and Privacy Computer Science & IT Engineering & Technology Cybersecurity, Cryptography and Privacy Computer Science & IT Engineering & Technology |
| subject_facet | Cybersecurity, Cryptography and Privacy Computer Science & IT Engineering & Technology |
| title | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data |
| title_auth | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data |
| title_full | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data |
| title_fullStr | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data |
| title_full_unstemmed | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data |
| title_short | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data |
| title_sort | annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data |
| topic | Cybersecurity, Cryptography and Privacy Computer Science & IT Engineering & Technology |
| url | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0343633 |