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Application of artificial intelligence in basic research on tumor drug resistance

Journal: Molecular Cancer

Article Title: Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges

doi: 10.1186/s12943-025-02321-x

Figure Lengend Snippet: Application of artificial intelligence in basic research on tumor drug resistance

Article Snippet: RNA-seq data from DepMap and TCGA datasets , TransCell (Self-Encoders + Migration Learning + Deep Feedforward Neural Networks) , External validation on proteomic data in CellMinerCDB and RNA-seq data in NCI60 cell line , TransCell improved drug susceptibility prediction performance by more than 50% , [ ] .

Techniques: Biomarker Discovery, Binding Assay, Fluorescence, Kinase Assay, Immunohistochemistry, Quantitative RT-PCR, Staining, Knockdown, CRISPR, Mutagenesis, Knock-Out, Activation Assay, Expressing, Reverse Transcription Polymerase Chain Reaction, Migration, Gene Expression, Plasmid Preparation, Injection, Selection, Histone Deacetylase Assay, Imaging, Cytometry

Available databases on tumor drug resistance

Journal: Molecular Cancer

Article Title: Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges

doi: 10.1186/s12943-025-02321-x

Figure Lengend Snippet: Available databases on tumor drug resistance

Article Snippet: RNA-seq data from DepMap and TCGA datasets , TransCell (Self-Encoders + Migration Learning + Deep Feedforward Neural Networks) , External validation on proteomic data in CellMinerCDB and RNA-seq data in NCI60 cell line , TransCell improved drug susceptibility prediction performance by more than 50% , [ ] .

Techniques: Expressing, Mutagenesis, Drug discovery, Biomarker Discovery