MRDGC: A Parallel Approach for the Identification of Master Regulators Based on the Differently Expressed Genes and the Regulatory Capacity of Regulators.
Mingming SunJiawei LuoNguyen Hoang TuPublished in: HPCC/SmartCity/DSS (2019)
Keyphrases
- shared memory
- transcription factors
- gene expression
- transcriptional regulatory
- transcriptional regulation
- parallel algorithm
- gene regulation
- microarray
- binding sites
- differentially expressed
- dna binding
- genome wide
- regulatory elements
- saccharomyces cerevisiae
- regulatory networks
- component analysis
- dna sequences
- microarray data
- cell cycle
- gene sets
- biological processes
- high throughput
- gene regulatory
- transcription factor binding sites
- gene expression data
- genomic data
- biomedical literature
- systems biology
- sequence data
- differentially expressed genes
- microarray data analysis
- computational biology
- signaling pathways
- sequenced genomes
- experimental conditions
- financial markets
- protein protein interactions
- co occurrence
- data sets
- cis regulatory
- microarray gene expression data
- gene expression profiles
- text mining
- computational methods