This project forked from csulzl/ssre
Cell type detection based on sparse subspace representation and similarity enhancement.
Cell type detection based on sparse-subspace representation and similarity enhancement
% > Matlab R2016b
% SSRE(data,label)
% data is the gene expression matrix, each column denotes a gene and each row denotes a cell
% label is the cells'true labels for calculating NMI, ARI
% omiga is the penalty coefficient
[NMI,ARI,cluster] = SSRE(data,label,omiga);
run demo.m
SubKit (https://github.com/sjtrny/SubKit))
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