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GiniClust: detecting rare cell types from single-cell gene expression data with Gini index
High-throughput single-cell technologies have great potential to discover new cell types; however, it remains challenging to detect rare cell types that are distinct from a large population. We present a novel computational method, called GiniClust, to overcome this challenge. Validation against a b...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930624/ https://www.ncbi.nlm.nih.gov/pubmed/27368803 http://dx.doi.org/10.1186/s13059-016-1010-4 |