WGRLR: A Weighted Group Regularized Logistic Regression for Cancer Diagnosis and Gene Selection.
Xuekun SongKe LiangJuntao LiPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2023)
Keyphrases
- logistic regression
- cancer diagnosis
- gene selection
- cancer classification
- microarray data
- microarray
- gene expression data
- decision trees
- relevant genes
- ovarian cancer
- colon cancer
- gene expression
- naive bayes
- support vector
- chi square
- gene expression profiles
- loss function
- dna microarray data
- feature selection
- dna microarray
- lung cancer
- fold cross validation
- training data
- support vector machine svm
- random forest
- pairwise
- microarray datasets
- high dimensional
- classification accuracy
- machine learning methods
- machine learning
- feature extraction
- support vector machine
- semi supervised
- learning algorithm