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Identification of DNA Methylation Markers Using Feature Selection and Deep Learning
(2021-04)
Current tools used to gather DNA methylation data can now retrieve well over 850,000 unique methylation values per sample. As these datasets tend to be too large for a human to reasonably parse through by themselves, ...
A Machine Learning Approach Towards Prediction of Pancreatic Cancer Using Gene Expression and DNA Methylation
(2024-04)
DNA methylation is a process that can affect gene accessibility and therefore gene expression. Methylation can affect genes that are associated with suppressing or contributing to tumor growth and progression. In this ...
A Machine Learning Approach Towards Prediction of Pancreatic Cancer Using Gene Expression and DNA Methylation
(2025-04)
Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer, accounting for over 90% of cases, and is characterized by aggressive growth, early metastasis, and resistance to therapy. A comprehensive ...