Table S1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

<p>Differentially expressed genes in TCGA LUSC and LUAD patients with high versus low S_intra/immune</p>

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Bibliographische Detailangaben
1. Verfasser:	Hanyun Zhang (15386757) (author)
Weitere Verfasser:	Khalid AbdulJabbar (15113174) (author), David A. Moore (15386760) (author), Ayse Akarca (15046863) (author), Katey S.S. Enfield (15386763) (author), Mariam Jamal-Hanjani (15386766) (author), Shan E. Ahmed Raza (15113177) (author), Selvaraju Veeriah (15386769) (author), Roberto Salgado (15046878) (author), Nicholas McGranahan (15335234) (author), John Le Quesne (15386772) (author), Charles Swanton (14123052) (author), Teresa Marafioti (15043335) (author), Yinyin Yuan (15386775) (author)
Veröffentlicht:	2025
Schlagworte:	Cancer Tumor Biology Methods and Technology Biostatistics Computational Methods Artificial intelligence & machine learning Lung Cancer Tumor Microenvironment Immune cells and the microenvironment
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