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Zikun Chen

ORCID: 0000-0002-9933-9658
Observed ORCID: 0000-0002-9933-9658
OpenAlex ID: A5024320652
Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al. · Cancer Research · 13
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Risk Estimation of Infectious and Inflammatory Disorders in Hospitalized Patients With Acute Ischemic Stroke Using Clinical-Lab Nomogram
2021 · Junhong Li, Jingjing Huang, et al. · Frontiers in Neurology · 4
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Supplementary File 1 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2025 · Charles Blatti, Jesús de la Fuente, et al.
PDF
Supplementary File 2 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2025 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 3 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2025 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2025 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 2 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 2 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 3 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 3 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 4 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 1 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Data from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 1 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 4 from Bayesian machine learning enables identification of transcriptional network disruptions associated with drug-resistant prostate cancer
2024 · Charles Blatti, Jesús de la Fuente, et al.
Data from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Data from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 2 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 1 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 3 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 3 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 2 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Supplementary File 1 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
PDF
Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
2023 · Charles Blatti, Jesús de la Fuente, et al.
Works count: 26
Citation count: 17
H-index: 2
I10-index: 1
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