Jan 20, 2022 � We propose a low-rank subspace clustering method called multi-view manifold regularized compact low-rank representation (MmCLRR).

The clustering framework of MmCLRR is used to study cancer clustering, and many experiments of cancer samples clustering based on multi-omics data are provided.

Jan 20, 2022 � We apply this method to cluster multi-cancer samples based on gene expression data, which improves the clustering quality. First, the gene�...

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data ... Authors: Juan Wang; Cong-Hai Lu; Xiang-Zhen�...

The identification of cancer types is of great significance for early diagnosis and clinical treatment of cancer. Clustering cancer samples is an important�...

Multi‑view manifold regularized compact low‑rank representation for cancer samples clustering on multi‑omics data. Language: English; Authors: Juan Wang1�...

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Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data � A truncated nuclear norm and graph-Laplacian�...

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. 2022, BMC Bioinformatics. Joint Lp-Norm and�...

The clustering results of three LRSC methods. Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.