Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

Keyphrases

• Tumor 100%
• Pan-cancer 100%
• Cancer Genome Atlas 100%
• Pathway Activation 100%
• Machine Learning 100%
• MEK Inhibitor (MEKi) 66%
• Copy number 66%
• Precision Oncology 66%
• Transcriptome 66%
• Cancer Types 66%
• Machine Learning Approach 66%
• Ras Activation 66%
• Molecular State 66%
• PanCanAtlas 66%
• RNA Sequencing (RNA-seq) 33%
• In Cancer 33%
• Phenocopying 33%
• Human Tumors 33%
• Expression Data 33%
• Response Predictors 33%
• Pathway Activity 33%
• Ras Activity 33%
• Multiple Hits 33%

Medicine and Dentistry

• Malignant Neoplasm 100%
• Ras Signaling 100%
• The Cancer Genome Atlas 100%
• Neoplasm 50%
• Transcriptome 25%
• Oncology 25%
• Cell Line 25%
• Cancer Types 25%
• MEK Inhibitor 25%
• RNA Sequencing 12%

Biochemistry, Genetics and Molecular Biology

• Transcriptome 100%
• MEK Inhibitor 100%
• Wild Type 50%
• RNA Sequencing 50%
• Genomics 50%