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Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.

C. Wang, Y. Gao, X. Kong, J. Liu, and C. Zheng. IEEE J. Biomed. Health Informatics, 26 (1): 458-467 (2022)

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Yulong Gao University of Stuttgart

Tzu-Ying Chen University of Stuttgart

Other publications of authors with the same name

A Simple Review of Sparse Principal Components Analysis.C. Feng, Y. Gao, J. Liu, C. Zheng, S. Li, and D. Wang. ICIC (2), volume 9772 of Lecture Notes in Computer Science, page 374-383. Springer, (2016)Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.J. Liu, D. Wang, Y. Gao, C. Zheng, Y. Xu, and J. Yu. IEEE/ACM Trans. Comput. Biology Bioinform., 15 (3): 974-987 (2018)Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.C. Feng, Y. Xu, J. Liu, Y. Gao, and C. Zheng. IEEE Trans. Neural Netw. Learning Syst., 30 (10): 2926-2937 (2019)Semi-supervised Feature Extraction for RNA-Seq Data Analysis.J. Liu, Y. Xu, Y. Gao, D. Wang, C. Zheng, and J. Shang. ICIC (3), volume 9227 of Lecture Notes in Computer Science, page 679-685. Springer, (2015)Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.M. Hou, J. Liu, J. Shang, Y. Gao, X. Kong, and L. Dai. ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 407-418. Springer, (2018)Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.Y. Hao, Y. Gao, M. Hou, L. Dai, and J. Liu. Complexity, (2019)Adaptive total-variation joint learning model for analyzing single cell RNA seq data.D. Zhang, J. Zhao, J. Liu, and Y. Gao. BIBM, page 775-778. IEEE, (2021)Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection.D. Wang, Y. Gao, J. Liu, J. Yu, and C. Wen. ICIC (2), volume 9226 of Lecture Notes in Computer Science, page 601-611. Springer, (2015)Differentially expressed genes selection via Truncated Nuclear Norm Regularization.Y. Wang, J. Liu, Y. Gao, X. Kong, C. Zheng, and Y. Du. BIBM, page 1851-1855. IEEE, (2016)L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.Z. Cui, Y. Gao, J. Liu, L. Dai, and S. Yuan. BMC Bioinformatics, 20-S (8): 287:1-287:13 (2019)

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Disambiguation of "Gao, Ying-Lian"

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Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.

Please choose a person to relate this publication to

Yulong Gao University of Stuttgart

Tzu-Ying Chen University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Gao, Ying-Lian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.

Please choose a person to relate this publication to

Yulong Gao University of Stuttgart

Tzu-Ying Chen University of Stuttgart

Other publications of authors with the same name

Disambiguation

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Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.