Figure 1 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States

Figure 1 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States

<p>Progression model of prostate cancer constructed by using TCGA data. <b>A,</b> Visualization analysis showed a general trend of data distribution of normal and tumor samples. Each tumor sample was color-coded by its <i>TMPRSS2</i>–<i>ERG</i> fusion status...

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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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