Gene co-expression network analysis reveals common system-level properties of genes involved in tuberculosis across independent gene expression studies.
Mohit JhaAnvita Gupta MalhotraSudha SinghKhushhali Menaria PandeyPublished in: Netw. Model. Anal. Health Informatics Bioinform. (2016)
Keyphrases
- gene expression
- network analysis
- expression patterns
- microarray
- expression profiles
- gene expression data
- social network analysis
- gene expression patterns
- differential expression
- gene expression levels
- microarray data
- selected genes
- biological networks
- functional genomics
- gene expression profiles
- biological processes
- differentially expressed genes
- gene regulation
- differentially expressed
- text mining
- dna microarray
- experimental conditions
- link prediction
- microarray gene
- microarray datasets
- network structure
- gene selection
- complex networks
- high throughput
- protein protein interactions
- gene products
- analysis of gene expression
- gene interactions
- gene expression analysis
- microarray data analysis
- protein interaction
- drosophila melanogaster
- community structure
- graph theory
- regulatory networks
- binding sites
- gene networks
- transcription factors
- social networks
- high throughput technologies
- disease genes
- data sets
- biomedical literature
- transcriptional regulation
- data mining
- systems biology
- information retrieval
- colon cancer
- data analysis
- gene sets