Figure 5 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States

Figure 5 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States

<p>Transcriptional signatures identified in four progression paths. <b>A,</b> Numbers of upregulated and downregulated genes identified in each path. <b>B</b> and <b>C,</b> KEGG pathways enriched in the upregulated and downregulated genes shared by the four...

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Bibliographic Details
Main Author: Runpu Chen (14942572) (author)
Other Authors: Li Tang (19939427) (author), Thomas Melendy (19939430) (author), Le Yang (19939433) (author), Steve Goodison (19939436) (author), Yijun Sun (19939439) (author)
Published: 2024
Subjects:
Cancer
Methods and Technology
Genitourinary Cancers
Prostate cancer
Computational Methods
Artificial intelligence & machine learning
Molecular modeling
Mathematical modeling
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