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
Selfish mutations dysregulating RAS-MAPK signaling are pervasive in aged human testes.
Maher GJ et al.
Genome Research, 2018
30355600 (PubMed )
Supplement: supp_gr.239186.118_Supplemental_Table_S3.xlsx › Table_of_prioritized_calls
Recommendations for analyzing and reporting TP53 gene variants in the high-throughput sequencing era.
Soussi T et al.
Human Mutation, 2014
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