ANALYZING HIGH DIMENSIONAL SINGLE CELL DATA USING THE T-DISTRIBUTED STOCHASTIC NEIGHBOR EMBEDDING ALGORITHM
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Apr 3, 2017
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Dec 10, 2012
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A method for mapping, graphing, and analyzing high-dimensional single cell data based on multiple parameters associated with the cell, including defining a point associated with the cell in a n-dimensional space; combining the point with other points associated with other cells to form a data set; representing the points in the data set in the n-dimensional space; projecting the points in the n-dimensional space onto a lower-dimensional map; and analyzing the features of interest in heterogeneous tissues using the lower-dimensional map.
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