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Automated mapping of phenotype space with single-cell data.

ABSTRACT: Accurate identification of cell subsets in complex populations is key to discovering novelty in multidimensional single-cell experiments. We present X-shift (http://web.stanford.edu/~samusik/vortex/), an algorithm that processes data sets using fast k-nearest-neighbor estimation of cell event density and arranges populations by marker-based classification. X-shift enables automated cell-subset clustering and access to biological insights that 'prior knowledge' might prevent the researcher from discovering.

SUBMITTER: Samusik N

PROVIDER: S-EPMC4896314 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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Automated mapping of phenotype space with single-cell data.

Samusik Nikolay N Good Zinaida Z Spitzer Matthew H MH Davis Kara L KL Nolan Garry P GP

Nature methods 20160516 6

Accurate identification of cell subsets in complex populations is key to discovering novelty in multidimensional single-cell experiments. We present X-shift (http://web.stanford.edu/~samusik/vortex/), an algorithm that processes data sets using fast k-nearest-neighbor estimation of cell event density and arranges populations by marker-based classification. X-shift enables automated cell-subset clustering and access to biological insights that 'prior knowledge' might prevent the researcher from d ...[more]

PMID: 27183440

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