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SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data
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| Published in: | Biology Methods and Protocols |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030190561132546 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Biology Methods and Protocols |
| description | |
| discipline_display | Natural Sciences |
| discipline_facet | Natural Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:18892 |
| institution | FRELIP |
| journal_source_facet | Biology Methods and Protocols |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data Biology Natural Sciences — Life Sciences Natural Sciences |
| sub_discipline_display | Natural Sciences — Life Sciences |
| sub_discipline_facet | Natural Sciences — Life Sciences |
| subject_display | Biology Natural Sciences — Life Sciences Natural Sciences Biology Natural Sciences — Life Sciences Natural Sciences |
| subject_facet | Biology Natural Sciences — Life Sciences Natural Sciences |
| title | SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data |
| title_auth | SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data |
| title_full | SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data |
| title_fullStr | SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data |
| title_full_unstemmed | SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data |
| title_short | SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data |
| title_sort | solve: a structured orthogonal latent variable framework for disentangling confounding in matrix data |
| topic | Biology Natural Sciences — Life Sciences Natural Sciences |
| url | https://academic.oup.com/biomethods/article/doi/10.1093/biomethods/bpaf094/8443070?rss=1 |