Prediction of a Gene Regulatory Network from Gene Expression Profiles With Linear Regression and Pearson Correlation Coefficient.
Md Mehedi Hassan OnikShakhawat Ahmmed NobinAdnan Ferdous AshrafiTareque Mohmud ChowdhuryPublished in: CoRR (2018)
Keyphrases
- linear regression
- gene expression profiles
- gene regulatory networks
- gene expression data
- yeast cell cycle
- gene networks
- pearson correlation coefficient
- microarray
- gene expression
- least squares
- gene regulation
- reverse engineering
- microarray data
- network model
- gene selection
- data sets
- high throughput
- regulatory networks
- collaborative filtering
- biological data
- high dimensionality
- high dimensional
- dynamic bayesian networks
- computer vision
- gaussian process
- structure learning
- gene ontology
- microarray datasets
- self organizing maps
- feature selection