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Single cell RNA-seq data clustering using TF-IDF based methods
BACKGROUND: Single cell transcriptomics is critical for understanding cellular heterogeneity and identification of novel cell types. Leveraging the recent advances in single cell RNA sequencing (scRNA-Seq) technology requires novel unsupervised clustering algorithms that are robust to high levels of...
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| Veröffentlicht in: | BMC Genomics |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6101073/ https://ncbi.nlm.nih.gov/pubmed/30367575 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-018-4922-4 |
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