GiniClust: detecting rare cell types from single-cell gene expression data with Gini index

@inproceedings{Jiang2016GiniClustDR,
  title={GiniClust: detecting rare cell types from single-cell gene expression data with Gini index},
  author={Lan Jiang and Huidong Chen and Luca Pinello and Guocheng Yuan},
  booktitle={Genome Biology},
  year={2016}
}
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 benchmark dataset indicates that GiniClust achieves high sensitivity and specificity. Application of GiniClust to public single-cell RNA-seq datasets uncovers previously unrecognized rare cell types… CONTINUE READING
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