Determination of endometrial carcinoma with gene expression based on optimized Elman neural network.
Hongping HuHaiyan WangYanping BaiMaoxing LiuPublished in: Appl. Math. Comput. (2019)
Keyphrases
- gene expression
- elman neural network
- microarray
- gene expression data
- microarray data
- gene regulation
- biological processes
- gene expression patterns
- gene expression data analysis
- binding sites
- biological networks
- regulatory networks
- gene expression profiles
- neural network
- functional genomics
- high throughput
- gene selection
- dna microarray
- gene expression analysis
- training speed
- differentially expressed genes
- data sets
- analysis of gene expression
- statistically significant
- training set
- feature space
- training data
- learning algorithm
- drosophila melanogaster
- gene interactions