Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data.
Alireza KarbalaygharehUlisses M. Braga-NetoEdward R. DoughertyPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2019)
Keyphrases
- noisy data
- gene expression
- microarray
- high dimensionality
- gene expression profiles
- gene expression data
- microarray gene
- colon cancer
- microarray data
- microarray data analysis
- gene expression analysis
- biological processes
- dna microarray
- gene expression microarray data
- high dimensional
- functional genomics
- gene expression patterns
- microarray datasets
- gene expression data sets
- gene selection
- missing values
- classification algorithm
- missing data
- pattern recognition
- input data
- gene expression data analysis
- cancer classification
- cancer diagnosis
- survival prediction
- machine learning
- high throughput
- feature selection
- training data
- regulatory networks
- binding sites
- gene regulation
- feature space
- feature extraction
- decision trees
- support vector machine
- cell cycle
- nearest neighbor
- support vector machine svm
- differentially expressed genes
- experimental conditions
- neural network