Connection

OLGA GORLOVA to Mutation, Missense

This is a "connection" page, showing publications OLGA GORLOVA has written about Mutation, Missense.
Connection Strength

0.524
  1. Identification of lung cancer drivers by comparison of the observed and the expected numbers of missense and nonsense mutations in individual human genes. Oncotarget. 2022; 13:756-767.
    View in: PubMed
    Score: 0.147
  2. Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples. BMC Bioinformatics. 2018 Nov 19; 19(1):430.
    View in: PubMed
    Score: 0.115
  3. Predicting the oncogenicity of missense mutations reported in the International Agency for Cancer Research (IARC) mutation database on p53. Hum Mutat. 2005 Nov; 26(5):446-54.
    View in: PubMed
    Score: 0.047
  4. Missense mutations in cancer suppressor gene TP53 are colocalized with exonic splicing enhancers (ESEs). Mutat Res. 2004 Oct 04; 554(1-2):175-83.
    View in: PubMed
    Score: 0.043
  5. Strength of selection in lung tumors correlates with clinical features better than tumor mutation burden. Sci Rep. 2024 06 03; 14(1):12732.
    View in: PubMed
    Score: 0.042
  6. Missense mutations in hMLH1 and hMSH2 are associated with exonic splicing enhancers. Am J Hum Genet. 2003 Nov; 73(5):1157-61.
    View in: PubMed
    Score: 0.040
  7. Protein-altering germline mutations implicate novel genes related to lung cancer development. Nat Commun. 2020 05 11; 11(1):2220.
    View in: PubMed
    Score: 0.032
  8. Untouchable genes in the human genome: Identifying ideal targets for cancer treatment. Cancer Genet. 2019 02; 231-232:67-79.
    View in: PubMed
    Score: 0.029
  9. Relative effects of mutability and selection on single nucleotide polymorphisms in transcribed regions of the human genome. BMC Genomics. 2008 Jun 17; 9:292.
    View in: PubMed
    Score: 0.014
  10. Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms. Am J Hum Genet. 2008 Jan; 82(1):100-12.
    View in: PubMed
    Score: 0.014
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.