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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, и D. Xu. Nature communications, 12 (1): 1--11 (2021)

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Ping Jiang

Jiang Yi

Xin Jiang

Kaiyun Jiang

Qiu Jiang

Другие публикации лиц с тем же именем

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, и 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 и 1 other автор(ы). PSB, стр. 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, и D. Xu. Nucleic Acids Res., 51 (W1): 343-349 (июля 2023)IMPRes: Integrative MultiOmics pathway resolution algorithm and tool.Y. Jiang, Y. Liang, D. Wang, D. Xu, и T. Joshi. BIBM, стр. 2260. IEEE Computer Society, (2017)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, и D. Xu. Nature communications, 12 (1): 1--11 (2021)DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional.Y. Jiang, D. Wang, и D. Xu. PSB, стр. 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, и T. Joshi. Bioinform., 36 (1): 169-176 (2020)Integrating Gene Expression Data and Pathway Knowledge for In Silico Hypothesis Generation with IMPRes.Y. Jiang, D. Wang, D. Xu, и T. Joshi. BIBM, стр. 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, и D. Xu. BIBM, стр. 3824-3826. IEEE, (2022)

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