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.

journal_name

Nat Methods

journal_title

Nature methods

authors

Samusik N,Good Z,Spitzer MH,Davis KL,Nolan GP

doi

10.1038/nmeth.3863

subject

Has Abstract

pub_date

2016-06-01 00:00:00

pages

493-6

issue

6

eissn

1548-7091

issn

1548-7105

pii

nmeth.3863

journal_volume

13

pub_type

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