OLIVIER LICHTARGE to Neoplasms
This is a "connection" page, showing publications OLIVIER LICHTARGE has written about Neoplasms.
Connection Strength
1.275
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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.
Score: 0.293
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A general calculus of fitness landscapes finds genes under selection in cancers. Genome Res. 2022 05; 32(5):916-929.
Score: 0.287
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Recurrent high-impact mutations at cognate structural positions in class A G protein-coupled receptors expressed in tumors. Proc Natl Acad Sci U S A. 2021 12 21; 118(51).
Score: 0.282
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Codon-level co-occurrences of germline variants and somatic mutations in cancer are rare but often lead to incorrect variant annotation and underestimated impact prediction. PLoS One. 2017; 12(3):e0174766.
Score: 0.203
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Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas. Cell Rep. 2019 07 30; 28(5):1370-1384.e5.
Score: 0.060
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Pathogenic Germline Variants in 10,389 Adult Cancers. Cell. 2018 04 05; 173(2):355-370.e14.
Score: 0.054
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HUMAN KINASES DISPLAY MUTATIONAL HOTSPOTS AT COGNATE POSITIONS WITHIN CANCER. Pac Symp Biocomput. 2017; 22:414-425.
Score: 0.050
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REPURPOSING GERMLINE EXOMES OF THE CANCER GENOME ATLAS DEMANDS A CAUTIOUS APPROACH AND SAMPLE-SPECIFIC VARIANT FILTERING. Pac Symp Biocomput. 2016; 21:207-18.
Score: 0.047