Calculating the TAMs-associated score.

<p>(A) The number of genes detected by cell; (B) The AUC histogram obtained from AUCell algorithm; (C) t-SNE analysis of cell types; (D) Distribution of TAMs score in different cell types; (E) Distribution of TAMs score between HCC patients receiving and not receiving immunotherapy.</p>

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Bibliographic Details
Main Author:	Changquan Shang (21647625) (author)
Other Authors:	Tiancong He (5495273) (author), Yi Zhang (9093) (author)
Published:	2025
Subjects:	Genetics Biotechnology Immunology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified utilizing bioinformatics approaches revealed distinct patterns prevalent malignancy influenced novel therapeutic approaches improving patient stratification future research ought cell rna sequencing autodock simulations suggest logistic regression modeling immune cell infiltration risk patient groups multiple hcc cohorts distinct risk groups bulk sequencing data poorer outcomes observed robust prognostic model hcc tumor microenvironment tumor microenvironment survival outcomes robust predictive immune system cox regression risk patients prognostic significance prognostic performances prognostic model hcc therapy tumor progression significant differences signature genes prospective studies may contribute integrate single identified could functional implications drug sensitivity based predictive associated macrophages associated macrophage
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Calculating the TAMs-associated score.

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