Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks.
Suping DengLin ZhuDe-Shuang HuangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2016)
Keyphrases
- gene regulatory networks
- expression profiles
- gene expression
- gene networks
- cervical cancer
- gene sets
- microarray
- gene expression data
- genetic networks
- gene expression profiles
- gene ontology
- gene expression levels
- microarray data
- biological networks
- gene gene
- regulatory networks
- systems biology
- biologically meaningful
- gene selection
- microarray gene expression data
- interaction networks
- signaling pathways
- reverse engineering
- gene function
- network model
- differential expression
- protein protein interaction networks
- biological processes
- escherichia coli
- gene regulation
- high throughput
- cell cycle
- candidate genes
- dna microarray
- gene expression patterns
- biological systems
- alternative splicing
- saccharomyces cerevisiae
- cis regulatory
- gene expression analysis
- microarray datasets
- disease genes
- differentially expressed genes
- statistical significance
- gene clusters
- gene prediction
- splice site
- homo sapiens
- cancer classification
- sequenced genomes
- microarray expression data
- gene ontology terms
- biomedical literature
- biological entities
- biological data
- feature selection
- comparative genomics
- gene expression datasets
- microarray data analysis
- computer aided diagnosis
- computer vision