Performance of Somatic Mutations in the Classification of Endometrial Carcinomas with CpG Island Methylator Phenotype
Abstract
Analyzing the ability to classify, using machine learning, uterine cancers with just the mutational data.
Keywords:
Bioinformatics, Machine Learning, Oncology, Computer Science, Python
Status
Graduate
Department
Electrical Engineering and Computer Science
College
Russ College of Engineering and Technology
Campus
Athens
Faculty Mentor
Welch, Lonnie
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
COinS
Performance of Somatic Mutations in the Classification of Endometrial Carcinomas with CpG Island Methylator Phenotype
Analyzing the ability to classify, using machine learning, uterine cancers with just the mutational data.
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