An Improved Conditional Wasserstein GAN With Gradient Penalty for Gene Expression Profiling Data Augmentation Based on Data Segmentation and Depth Feature Constraint - researchr publication references

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Fei Han 0001, Yutao Liang, Qinghua Ling, Henry Han. An Improved Conditional Wasserstein GAN With Gradient Penalty for Gene Expression Profiling Data Augmentation Based on Data Segmentation and Depth Feature Constraint. IEEE/ACM Trans. Comput. Biology Bioinform., 22(4):1401-1414, 2025. [doi]

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