Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies.
Tanwei YuanDominic EdelmannZiwen FanElizabeth AlwersJakob Nikolas KatherHermann BrennerMichael HoffmeisterPublished in: Artif. Intell. Medicine (2023)
Keyphrases
- systematic review
- breast cancer
- breast cancer patients
- machine learning
- cancer patients
- empirical studies
- disease progression
- clinical trials
- clinical data
- early detection
- survival analysis
- logistic regression
- clinical diagnosis
- survival data
- outcome prediction
- ovarian cancer
- mass spectrometry
- microarray technology
- colorectal cancer
- prostate cancer
- gene expression profiles
- cancer datasets
- gene selection
- cancer treatment
- colon cancer
- candidate genes
- meta analysis
- patient groups
- gastric cancer
- cancer diagnosis
- dna sequences
- microarray data
- high throughput
- decision trees
- early diagnosis
- normal tissue
- cross sectional
- feature selection
- related genes
- patient data
- prognostic models
- computational biology
- computer aided
- microarray
- survival prediction