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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)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

BRWMC: Predicting lncRNA-disease associations based on bi-random walk and matrix completion on disease and lncRNA networks.G. Zhang, and Y. Gao. Comput. Biol. Chem., (April 2023)LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.X. Dou, W. Xi, T. Wu, C. Jiao, J. Liu, and Y. Gao. ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 291-299. Springer, (2023)Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification.L. Ren, J. Liu, Y. Gao, X. Kong, and C. Zheng. ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 537-545. Springer, (2020)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)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)L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.L. Ren, Y. Gao, J. Liu, R. Zhu, and X. Kong. Comput. Biol. Chem., (2020)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. CoRR, (2019)SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.B. Liu, Y. Gao, F. Li, C. Zheng, and J. Liu. Knowl. Based Syst., (January 2024)Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction.C. Jiao, Y. Gao, D. Ge, J. Shang, and J. Liu. Eng. Appl. Artif. Intell., (2024)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. Biol. Bioinform., 15 (3): 974-987 (2018)

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Disambiguation of "Gao, Ying-Lian"

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Adaptive total-variation joint learning model for analyzing single cell RNA seq data.

Please choose a person to relate this publication to

Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gao, Ying-Lian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adaptive total-variation joint learning model for analyzing single cell RNA seq data.

Please choose a person to relate this publication to

Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Adaptive total-variation joint learning model for analyzing single cell RNA seq data.