Associated Papers
Integrating evidence from protein domains to identify cancer driver mutations.
Ostroverkhova D et al.
Protein Science : a Publication of the Protein Society, 2026
41556616 (PubMed )
Supplement: PRO-35-e70422-s002.xlsx › Table_S1
Integrating genomic and transcriptome features for characterization and prognostic prediction of angioimmunoblastic T-cell lymphoma.
Wei C et al.
Annals of Hematology, 2025
40906017 (PubMed )
Supplement: 277_2025_6589_MOESM3_ESM.xlsx › Sheet1
Endometrioid ovarian carcinoma landscape: pathological and molecular characterization.
de Nonneville A et al.
Molecular Oncology, 2024
38923749 (PubMed )
Supplement: MOL2-18-2586-s001.zip › mol213679-sup-0010-TableS7.xlsx › SupTable7
Mutation patterns in colorectal cancer and their relationship with prognosis.
Su Z et al.
Heliyon, 2024
39263143 (PubMed )
Supplement: mmc1.xlsx › Tabelle1
Spectrum of BRAF Aberrations and Its Potential Clinical Implications: Insights From Integrative Pan-Cancer Analysis.
Yi Q et al.
Frontiers in Bioengineering and Biotechnology, 2022
35910024 (PubMed )
Supplement: Table2.XLSX › table
Analysis on GENIE reveals novel recurrent variants that affect molecular diagnosis of sizable number of cancer patients.
Koyama T et al.
Bmc Cancer, 2019
30709382 (PubMed )
Supplement: 12885_2019_5313_MOESM3_ESM.xlsx › supplementary_3_filtered
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2
Select a paper to view details