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Analyzing High Dimensional Single Cell Data Using the T-Distributed Stochastic Neighbor Embedding Algorithm

机译:使用T分布随机邻居嵌入算法分析高维单细胞数据

摘要

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.
机译:一种用于基于与单元相关联的多个参数映射,绘制和分析高维单个单元数据的方法,包括在n维空间中定义与单元相关联的点。将所述点与与其他单元格关联的其他点组合以形成数据集;表示数据集在n维空间中的点;将n维空间中的点投影到低维地图上;并使用低维图分析异质组织中感兴趣的特征。

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