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Screening of Potential Biomarkers for Gastric Cancer with Diagnostic Value Using Label-free Global Proteome Analysis.

Y. Song, J. Wang, J. Sun, X. Chen, J. Shi, Z. Wu, D. Yu, F. Zhang, и Z. Wang. Genom. Proteom. Bioinform., 18 (6): 679-695 (2020)

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Zhonghua Zhou

Zhonghua Xiao

Zhonghua Luo

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Jinjin Wu

Другие публикации лиц с тем же именем

Screening of Potential Biomarkers for Gastric Cancer with Diagnostic Value Using Label-free Global Proteome Analysis.Y. Song, J. Wang, J. Sun, X. Chen, J. Shi, Z. Wu, D. Yu, F. Zhang, и Z. Wang. Genom. Proteom. Bioinform., 18 (6): 679-695 (2020)Remember What You have drawn: Semantic Image Manipulation with Memory.X. Shi, Z. Wu, G. Lin, J. Cai, и S. Joty. CoRR, (2021)Modeling Continuous Motion for 3D Point Cloud Object Tracking.Z. Luo, G. Zhang, C. Zhou, Z. Wu, Q. Tao, L. Lu, и S. Lu. AAAI, стр. 4026-4034. AAAI Press, (2024)Exploratory Analysis of Quality Assessment of Putative Intrinsic Disorder in Proteins.Z. Wu, G. Hu, K. Wang, и L. Kurgan. ICAISC (1), том 10245 из Lecture Notes in Computer Science, стр. 722-732. Springer, (2017)Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection.Z. Wu, Q. Tao, G. Lin, и J. Cai. CVPR, стр. 12933-12942. Computer Vision Foundation / IEEE, (2020)M2E-Try On Net: Fashion from Model to Everyone.Z. Wu, G. Lin, Q. Tao, и J. Cai. CoRR, (2018)LCReg: Long-tailed image classification with Latent Categories based Recognition.W. Liu, Z. Wu, Y. Wang, H. Ding, F. Liu, J. Lin, и G. Lin. Pattern Recognit., (января 2024)Learning Meta-class Memory for Few-Shot Semantic Segmentation.Z. Wu, X. Shi, G. Lin, и J. Cai. ICCV, стр. 497-506. IEEE, (2021)Towards Robust and Expressive Whole-body Human Pose and Shape Estimation.H. Pang, Z. Cai, L. Yang, Q. Tao, Z. Wu, T. Zhang, и Z. Liu. NeurIPS, (2023)CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation.Y. Wu, Z. Wu, H. Shi, B. Picker, W. Chong, и J. Cai. MICCAI (8), том 14227 из Lecture Notes in Computer Science, стр. 3-13. Springer, (2023)

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