Associated Papers
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
35043155 (PubMed )
Supplement: supplementary_table_s1_bbab524.xlsx › S1B._Negative_Set
Spatio-temporal mutation profiles of case-matched colorectal carcinomas and their metastases reveal unique de novo mutations in metachronous lung metastases by targeted next generation sequencing.
Kovaleva V et al.
Molecular Cancer, 2016
27756406 (PubMed )
Supplement: 12943_2016_549_MOESM2_ESM.xlsx › Kovaleva_SuppTableS4_BMC_MolCan
Validation of a yeast functional assay for p53 mutations using clonal sequencing.
Iggo R et al.
The Journal of Pathology, 2013
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