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This is a "connection" page, showing publications co-authored by OLIVIER LICHTARGE and JENNIFER ASMUSSEN.
OLIVIER LICHTARGE
Connection Strength
0.923
JENNIFER ASMUSSEN
  1. Evolutionary Action-Machine Learning Model Identifies Candidate Genes Associated With Early-Onset Coronary Artery Disease. J Am Heart Assoc. 2023 09 05; 12(17):e029103.
    View in: PubMed
    Score: 0.228
  2. Functional variants identify sex-specific genes and pathways in Alzheimer's Disease. Nat Commun. 2023 05 13; 14(1):2765.
    View in: PubMed
    Score: 0.223
  3. EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants. Nucleic Acids Res. 2022 07 08; 50(12):e70.
    View in: PubMed
    Score: 0.211
  4. A general calculus of fitness landscapes finds genes under selection in cancers. Genome Res. 2022 05; 32(5):916-929.
    View in: PubMed
    Score: 0.206
  5. Evolution of cisplatin resistance through coordinated metabolic reprogramming of the cellular reductive state. Br J Cancer. 2023 06; 128(11):2013-2024.
    View in: PubMed
    Score: 0.055
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.