Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer

Keyphrases

• In Cancer 100%
• Protein-coding Genes 100%
• Evolutionary Modeling 100%
• Somatic mutation 66%
• Random mutation 66%
• Cancer Genes 66%
• Healthy Individuals 33%
• Human Genome 33%
• Negative Selection 33%
• Tumor 33%
• Genetic Variation 33%
• Human Population 33%
• Human Evolution 33%
• Computational Methods 33%
• Mutation Effect 33%
• Single nucleotide Variant 33%
• Gene-based 33%
• Purifying Selection 33%
• Genomic Data 33%
• Functional Impact 33%
• Common Variants 33%
• Machine Learning Models 33%
• Rare Variants 33%
• Normal Human 33%
• Open Source Project 33%
• Driver Genes 33%
• Command Line Interface 33%
• Human Proteome 33%
• Wide Applicability 33%
• Significant Genes 33%
• Evolutionary Selection 33%
• Human Samples 33%
• Somatic mutations in Cancer 33%
• Gene Catalog 33%
• Human Variants 33%

Biochemistry, Genetics and Molecular Biology

• Somatic Mutation 100%
• Normal Human 66%
• Human Genome 33%
• Oncogene 33%
• Proteome 33%
• Genetic Variation 33%
• Evolution 33%
• Negative Selection (Natural Selection) 33%
• Tumor Gene 33%