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scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

J. Wang, A. Ma, Y. Chang, J. Gong, Y. Jiang, R. Qi, C. Wang, H. Fu, Q. Ma, and D. Xu. Nature communications, 12 (1): 1--11 (2021)

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Xin Jiang

Kaiyun Jiang

Ping Jiang

Jiang Yi

Qiu Jiang

Other publications of authors with the same name

MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization.D. Wang, D. Liu, J. Yuchi, F. He, Y. Jiang, S. Cai, J. Li, and D. Xu. Nucleic Acids Res., 48 (Webserver-Issue): W140-W146 (2020)RDF Sketch Maps - Knowledge Complexity Reduction for Precision Medicine Analytics.N. Thanintorn, J. Wang, I. Ersoy, Z. Al-Taie, Y. Jiang, D. Wang, M. Verma, T. Joshi, R. Hammer, D. Xu and 1 other author(s). PSB, page 417-428. (2016)MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels.Y. Jiang, L. Jiang, C. Akhil, D. Wang, Z. Zhang, W. Zhang, and D. Xu. Nucleic Acids Res., 51 (W1): 343-349 (July 2023)IMPRes: Integrative MultiOmics pathway resolution algorithm and tool.Y. Jiang, Y. Liang, D. Wang, D. Xu, and T. Joshi. BIBM, page 2260. IEEE Computer Society, (2017)DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional.Y. Jiang, D. Wang, and D. Xu. PSB, page 66-75. (2019)A dynamic programing approach to integrate gene expression data and network information for pathway model generation.Y. Jiang, Y. Liang, D. Wang, D. Xu, and T. Joshi. Bioinform., 36 (1): 169-176 (2020)scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJ. Wang, A. Ma, Y. Chang, J. Gong, Y. Jiang, R. Qi, C. Wang, H. Fu, Q. Ma, and D. Xu. Nature communications, 12 (1): 1--11 (2021)Integrating Gene Expression Data and Pathway Knowledge for In Silico Hypothesis Generation with IMPRes.Y. Jiang, D. Wang, D. Xu, and T. Joshi. BIBM, page 102-107. IEEE Computer Society, (2018)Machine learning development environment for single-cell sequencing data analyses.L. Jiang, Y. Jiang, C. Wang, C. Essien, J. Wang, A. Ma, Q. Ma, and D. Xu. BIBM, page 3824-3826. IEEE, (2022)

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Disambiguation of "Jiang, Yuexu"

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scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Please choose a person to relate this publication to

Xin Jiang

Kaiyun Jiang

Ping Jiang

Jiang Yi

Qiu Jiang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jiang, Yuexu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Please choose a person to relate this publication to

Xin Jiang

Kaiyun Jiang

Ping Jiang

Jiang Yi

Qiu Jiang

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses