Associated Papers
Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis.
Zheng Y et al.
Nature Communications, 2025
Comprehensive Characterization of the Coding and Non-Coding Single Nucleotide Polymorphisms in the Tumor Protein p63 (TP63) Gene Using In Silico Tools.
Akter S et al.
Biomolecules, 2021
34827731 (PubMed )
Supplement: biomolecules-11-01733-s001.zip › biomolecules-1441232-supplementary.pdf
Mutation patterns in recurrent and/or metastatic oropharyngeal squamous cell carcinomas in relation to human papillomavirus status.
Reder H et al.
Cancer Medicine, 2021
33527763 (PubMed )
Supplement: CAM4-10-1347-s006.pdf
Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes.
Dong X et al.
Communications Biology, 2020
31925297 (PubMed )
Supplement: 42003_2019_736_MOESM10_ESM.xlsx › Sheet1
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