Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data

Author:

Zhu Ya-LiORCID,Wu Ming-JuanORCID,Wang Chuan-YuanORCID,Hu YueORCID,Liu Jin-XingORCID

Publisher

Springer Singapore

Reference19 articles.

1. Villani, A.C., et al.: Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors. Science 356(6335), eaah4573 (2017)

2. van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579–2605 (2008)

3. Von Luxburg, U.: A tutorial on spectral clustering. Stat. Comput. 17(4), 395–416 (2007)

4. Wang, B., Zhu, J., Pierson, E., Ramazzotti, D., Batzoglou, S.: Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning. Nat. Method 14(4), 414 (2017)

5. Jiao, C.-N., Gao, Y.-L., Yu, N., Liu, J.-X., Qi, L.-Y.: Hyper-graph regularized constrained NMF for selecting differentially expressed genes and tumor classification. IEEE J. Biomed. Health Inf. 24(10), 3002–3011 (2020)

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