Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.

Liu K, Altman RB

Open source

DOI
10.1146/annurev-biodatasci-103123-094844
Published
2025 Aug
Container
Annual review of biomedical data science
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1146/annurev-biodatasci-103123-094844,
  title = {Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.},
  author = {Liu K and Altman RB},
  year = {2025},
  journal = {Annual review of biomedical data science},
  doi = {10.1146/annurev-biodatasci-103123-094844},
  url = {https://doi.org/10.1146/annurev-biodatasci-103123-094844}
}

RIS

TY  - JOUR
TI  - Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.
AU  - Liu K
AU  - Altman RB
PY  - 2025
JO  - Annual review of biomedical data science
DO  - 10.1146/annurev-biodatasci-103123-094844
UR  - https://doi.org/10.1146/annurev-biodatasci-103123-094844
ER  - 

APA

K, L., & RB, A. (2025). Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.. Annual review of biomedical data science. https://doi.org/10.1146/annurev-biodatasci-103123-094844

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