Anqi Lin

Onlinemeta provides a web-based tool for conducting meta-analysis and network meta-analysis with various analytical modules and visualizations.

This paper develops a machine learning model to predict radiosensitivity in nasopharyngeal carcinoma using gene expression data and validates its association with immune characteristics and signaling pathways.

This study identifies SPP1+ tumor-associated macrophages as a key driver of radioresistance in nasopharyngeal carcinoma through interactions with the tumor microenvironment.

MOAHIT is a web tool that visualizes tumor multi-omics data with human anatomy heatmaps to explore tumor heterogeneity across different tissues and cancers.

CAMOIP provides a web tool for analyzing multi-omics data related to immunotherapy across cancers, enabling biomarker screening and mechanism analysis in over 4000 patients.