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Machine learning for perturbational single-cell omics, , , and . Cell Systems, 12 (6): 522--537 (2021)Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning., , , and . CoRR, (2017)Mapping single-cell data to reference atlases by transfer learning, , , , , , , , , and 1 other author(s). Nature Biotechnology, 40 (1): 121--130 (2022)Deep learning in spatially resolved transcriptomics: a comprehensive technical view., , , , , , , , and . Briefings Bioinform., (2024)scGen predicts single-cell perturbation responses, , and . Nature Methods, 16 (8): 715--721 (2019)Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution., , , , , and . NeurIPS, (2022)Conditional out-of-distribution generation for unpaired data using transfer VAE., , , and . Bioinform., 36 (Supplement-2): i610-i617 (2020)Integration and Querying of Multimodal Single-Cell Data with PoE-VAE., , , , , , and . RECOMB, volume 15647 of Lecture Notes in Computer Science, page 345-348. Springer, (2025)