Associated Papers
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology.
Gustav M et al.
Npj Precision Oncology, 2024
38783059 (PubMed )
Supplement: 41698_2024_592_MOESM1_ESM.pdf
Detection of oncogenic and clinically actionable mutations in cancer genomes critically depends on variant calling tools.
Garcia-Prieto CA et al.
Bioinformatics (oxford, England), 2022
35512388 (PubMed )
Supplement: btac306_supplementary_data.zip › Supplementary_files.zip › Supplementary_files › Supplementary_file_9.xlsx › Sheet1
Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing-based gene panel.
Li L et al.
Frontiers in Oncology, 2022
POLE/POLD1 mutation in non-exonuclease domain matters for predicting efficacy of immune-checkpoint-inhibitor therapy.
Chen YX et al.
Clinical and Translational Medicine, 2021
34586735 (PubMed )
Supplement: CTM2-11-e524-s001.xlsx › Supplementary_Table_2
Comprehensive analysis of indels in whole-genome microsatellite regions and microsatellite instability across 21 cancer types.
Fujimoto A et al.
Genome Research, 2020
32209592 (PubMed )
Supplement: supp_gr.255026.119_Supplemental_Tables.xlsx › Table_S11
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