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scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis
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| Published in: | PLOS Computational Biology Atom |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864493180037103619 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | PLOS Computational Biology Atom |
| description | |
| discipline_display | Life Sciences & Biology |
| discipline_facet | Life Sciences & Biology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:49971 |
| institution | FRELIP |
| journal_source_facet | PLOS Computational Biology Atom |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis PLOS Computational Biology Atom Biological Sciences Life Sciences & Biology |
| sub_discipline_display | Biological Sciences |
| sub_discipline_facet | Biological Sciences |
| subject_display | PLOS Computational Biology Atom Biological Sciences Life Sciences & Biology PLOS Computational Biology Atom Biological Sciences Life Sciences & Biology |
| subject_facet | PLOS Computational Biology Atom Biological Sciences Life Sciences & Biology |
| title | scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis |
| title_auth | scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis |
| title_full | scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis |
| title_fullStr | scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis |
| title_full_unstemmed | scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis |
| title_short | scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis |
| title_sort | schg: a supercell framework with high-order graph learning enables scalable multi-omics analysis |
| topic | PLOS Computational Biology Atom Biological Sciences Life Sciences & Biology |
| url | https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013851 |