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SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples
Advances in single-cell RNA sequencing (scRNA-Seq) have allowed for comprehensive analyses of single cell data. However, current analyses of scRNA-Seq data usually start from unsupervised clustering or visualization. These methods ignore prior knowledge of transcriptomes and the probable structures...
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| 發表在: | Genes (Basel) |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6678337/ https://ncbi.nlm.nih.gov/pubmed/31336988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes10070531 |
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