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==== Paper ====

====== Python ======

========= Tensorflow =========

======= PyTorch =======

===== Keras =====

======= Topics =======

==== Link ====

==== Video ====

========== Drug Design ==========

============== Material Science ==============

========= Economics ==========

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============ Data generation ============

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2	Gupta, Anvita, and James Zou. "Feedback GAN (FBGAN) for DNA: a novel feedback-loop architecture for optimizing protein functions." arXiv preprint arXiv:1804.01694 (2018).
3	Amimeur, Tileli, et al. "Designing Feature-Controlled Humanoid Antibody Discovery Libraries Using Generative Adversarial Networks." bioRxiv (2020).
4	Repecka, Donatas, et al. "Expanding functional protein sequence space using generative adversarial networks." bioRxiv (2019): 789719.
5	An overview of biological data generation using generative adversarial networks. 2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
6	Generative Adversarial Networks and Its Applications in Biomedical Informatics . 2020
7	Synthetic data generation: State of the art in health care domain。2023. COMPUTER SCIENCE REVIEW
8	Synthetic data in machine learning for medicine and healthcare. 2021.NATURE BIOMEDICAL ENGINEERING
9	Artificial intelligence-generated peripheral blood film images using generative adversarial networks and diffusion models. 2023. AMERICAN JOURNAL OF HEMATOLOGY
10	Diffusion models in medical imaging: A comprehensive survey. 2023. MEDICAL IMAGE ANALYSIS
11	Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. 2023. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
12	Synthetic electronic health records generated with variational graph autoencoders. 2023.NPJ DIGITAL MEDICINE
13	Critical evaluation of the use of artificial data for machine learning based de novo peptide identification. 2023.COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
14	A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer. 2023.SCIENTIFIC DATA
15	Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence. 2023.IEEE SIGNAL PROCESSING MAGAZINE
16	Transformer-based protein generation with regularized latent space optimization .2022 nature machine intelligence
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DNA Generation

 

1	Killoran, Nathan, et al. "Generating and designing DNA with deep generative models." arXiv preprint arXiv:1712.06148(2017).
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Protein Generation

Generative design of de novo proteins based on secondary-structure constraints using an attention-based diffusion model. 2023

 

 

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Biomedical Image Generation

 

Clinical Data Generation

 

 

 

 

 

 

 

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