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
Side-by-side comparison of next-generation sequencing, cytology, and histology in diagnosing locally advanced pancreatic adenocarcinoma.
Carrara S et al.
Gastrointestinal Endoscopy, 2021
TP53, SPOP and PIK3CA Genes Status in Prostate Cancer.
Al Zoubi MS et al.
Asian Pacific Journal of Cancer Prevention : Apjcp, 2020
Targeted sequencing of FH-deficient uterine leiomyomas reveals biallelic inactivating somatic fumarase variants and allows characterization of missense variants.
Popp B et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc, 2020
32612247 (PubMed )
Supplement: 41379_2020_596_MOESM2_ESM.xlsx › allFH_missense
TP53 mutations in human cancer: database reassessment and prospects for the next decade.
Leroy B et al.
Human Mutation, 2014
24665023 (PubMed )
Supplement: supplement_1.pdf
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