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A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data
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| Published in: | Bioinformatics Advances : Journal of the International Society for Computational Biology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030190858928132 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Bioinformatics Advances : Journal of the International Society for Computational Biology |
| description | |
| discipline_display | Natural Sciences |
| discipline_facet | Natural Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:18778 |
| institution | FRELIP |
| journal_source_facet | Bioinformatics Advances : Journal of the International Society for Computational Biology |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression 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 | A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data |
| title_auth | A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data |
| title_full | A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data |
| title_fullStr | A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data |
| title_full_unstemmed | A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data |
| title_short | A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data |
| title_sort | a kernel density estimation-based approach for quantifying o-glcnacylation dysregulation in cancer from gene expression data |
| topic | Biology Natural Sciences — Life Sciences Natural Sciences |
| url | https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbag045/8483021?rss=1 |