Marilyn M. Li - researchr alias

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Viewing Publication 1 - 3 from 3

2023

Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled dataZilin Ren, Quan Li, Kajia Cao, Marilyn M. Li, Yunyun Zhou, Kai Wang. bmcbi, 24(1):43, December 2023. [doi]

Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled dataZilin Ren, Quan Li, Kajia Cao, Marilyn M. Li, Yunyun Zhou, Kai Wang. bmcbi, 24(1):43, December 2023. [doi]

2022

Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled dataZilin Ren, Quan Li, Kajia Cao, Marilyn M. Li, Yunyun Zhou, Kai Wang. bmcbi, 23-S(3):572, March 2022. [doi]

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