Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer

Shikai Fang; Shandian Zhe; Hui-Ming Lin; Arun A. Azad; Heidi Fettke; Edmond M. Kwan; Lisa Horvath; Blossom Mak; Tiantian Zheng; Pan Du; Shidong Jia; Robert M. Kirby; Manish Kohli

Journal ArticleOPEN ACCESS

Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer

Fang S
Zhe S
Lin H
et al.

JCO Clinical Cancer Informatics (2023) (7)

DOI: 10.1200/cci.23.00057

2Citations

11Readers

Abstract

Multi-omic blood-based biomarkers identify prognostic patients in metastatic prostate cancer.

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APA

Fang, S., Zhe, S., Lin, H.-M., Azad, A. A., Fettke, H., Kwan, E. M., … Kohli, M. (2023). Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer. JCO Clinical Cancer Informatics, (7). https://doi.org/10.1200/cci.23.00057

Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer

Abstract

Cite

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