AIMC Topic: ras Proteins
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Identification of pan-cancer Ras pathway activation with deep learning.
Briefings in bioinformatics
Jul 20, 2021
The identification of hidden responders is often an essential challenge in precision oncology. A recent attempt based on machine learning has been proposed for classifying aberrant pathway activity from multiomic cancer data. However, we note several...
Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas.
Cell reports
Apr 3, 2018
Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these "hidden responders" may reveal responsive molecular states. We describe and evaluate a mach...
Structural Comparison of Gene Relevance Networks for Breast Cancer Tissues in Different Grades.
Combinatorial chemistry & high throughput screening
Jan 1, 2016
BACKGROUND: The breast is an important biological system of human with two distinct states, i.e. normal and tumoral. Research on breast cancer could be based on systematic modeling to contrast the system structures of these two states.
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