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GiniClust2: a cluster-aware, weighted ensemble clustering method for cell-type detection.


ABSTRACT: Single-cell analysis is a powerful tool for dissecting the cellular composition within a tissue or organ. However, it remains difficult to detect rare and common cell types at the same time. Here, we present a new computational method, GiniClust2, to overcome this challenge. GiniClust2 combines the strengths of two complementary approaches, using the Gini index and Fano factor, respectively, through a cluster-aware, weighted ensemble clustering technique. GiniClust2 successfully identifies both common and rare cell types in diverse datasets, outperforming existing methods. GiniClust2 is scalable to large datasets.

SUBMITTER: Tsoucas D 

PROVIDER: S-EPMC5946416 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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GiniClust2: a cluster-aware, weighted ensemble clustering method for cell-type detection.

Tsoucas Daphne D   Yuan Guo-Cheng GC  

Genome biology 20180510 1


Single-cell analysis is a powerful tool for dissecting the cellular composition within a tissue or organ. However, it remains difficult to detect rare and common cell types at the same time. Here, we present a new computational method, GiniClust2, to overcome this challenge. GiniClust2 combines the strengths of two complementary approaches, using the Gini index and Fano factor, respectively, through a cluster-aware, weighted ensemble clustering technique. GiniClust2 successfully identifies both  ...[more]

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