Haisu: Hierarchically supervised nonlinear dimensionality reduction
Fig 2
For this dataset, Haisu applies an input hierarchy based on cell function and lineage to guide the identification of sub-clusters.
We display the effect of our method on popular nonlinear DR approaches and PCA at multiple ‘strength’ values (str), a tunable factor between 0 and (up to) 1 to control the strength of our hierarchical distancing function. Compared to raw NLDR (str = 0), Haisu reveals sub-clusters of T cells and better expresses the subtle relationship between datapoints in each method.