Connection

OLIVIER LICHTARGE to Databases, Genetic

This is a "connection" page, showing publications OLIVIER LICHTARGE has written about Databases, Genetic.
Connection Strength

0.662
  1. Meta-EA: a gene-specific combination of available computational tools for predicting missense variant effects. Nat Commun. 2025 Jan 02; 16(1):159.
    View in: PubMed
    Score: 0.201
  2. CAGI5: Objective performance assessments of predictions based on the Evolutionary Action equation. Hum Mutat. 2019 09; 40(9):1436-1454.
    View in: PubMed
    Score: 0.138
  3. COMPUTING THERAPY FOR PRECISION MEDICINE: COLLABORATIVE FILTERING INTEGRATES AND PREDICTS MULTI-ENTITY INTERACTIONS. Pac Symp Biocomput. 2016; 21:21-32.
    View in: PubMed
    Score: 0.108
  4. CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases. Hum Mutat. 2019 09; 40(9):1373-1391.
    View in: PubMed
    Score: 0.035
  5. Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5. Hum Mutat. 2019 09; 40(9):1474-1485.
    View in: PubMed
    Score: 0.035
  6. Pathogenic Germline Variants in 10,389 Adult Cancers. Cell. 2018 04 05; 173(2):355-370.e14.
    View in: PubMed
    Score: 0.031
  7. Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI. Hum Mutat. 2017 09; 38(9):1042-1050.
    View in: PubMed
    Score: 0.030
  8. Benchmarking predictions of allostery in liver pyruvate kinase in CAGI4. Hum Mutat. 2017 09; 38(9):1123-1131.
    View in: PubMed
    Score: 0.030
  9. Cdkn2a suppresses metastasis in squamous cell carcinomas induced by the gain-of-function mutant p53(R172H). J Pathol. 2016 10; 240(2):224-34.
    View in: PubMed
    Score: 0.028
  10. REPURPOSING GERMLINE EXOMES OF THE CANCER GENOME ATLAS DEMANDS A CAUTIOUS APPROACH AND SAMPLE-SPECIFIC VARIANT FILTERING. Pac Symp Biocomput. 2016; 21:207-18.
    View in: PubMed
    Score: 0.027
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.