A low rank complement method based on scRNA-seq data
Project description
For the data matrix of scRNA-seq, each cell is treated as a sample, and each row (column) indicates the expression of different genes in this cell is affected by noise.In summary, we have developed a low rank constraint matrix completion method based on truncated kernel norm.
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