期刊
NATURE METHODS
卷 13, 期 6, 页码 493-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3863
关键词
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资金
- NIH [R01GM109836, U19 AI057229, 1U19AI100627, R01-CA184968, 1R33-CA183654-01, R33-CA183692, 1R01-GM10983601, 1R21-CA183660, 1R01-NS08953301, OPP-1113682, 5UH2-AR067676, 1R01-CA19665701, R01-HL120724]
- Immunology Training grant [5T32AI007290]
- US Department of Defense
- Northrop-Grumman Corporation
- US Food and Drug Administration [BAA HHSF223201210194c]
- Rachford and Carlota A. Harris Endowed Chair
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/similar to 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.
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