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JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing
BACKGROUND: Single-cell RNA-Sequencing (scRNA-Seq) has provided single-cell level insights into complex biological processes. However, the high frequency of gene expression detection failures in scRNA-Seq data make it challenging to achieve reliable identification of cell-types and Differentially Ex...
Tallennettuna:
| Julkaisussa: | BMC Genomics |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7798298/ https://ncbi.nlm.nih.gov/pubmed/33430769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-020-07302-6 |
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