Reverse-engineering biological interaction networks from noisy data using Regularized Least Squares and Instrumental Variables.
Francesco MontefuscoCarlo CosentinoFrancesco AmatoDeclan G. BatesPublished in: CDC/ECC (2011)
Keyphrases
- noisy data
- interaction networks
- reverse engineering
- gene regulatory networks
- regularized least squares
- systems biology
- software engineering
- sparse representation
- biological processes
- high dimensional
- object oriented
- biological knowledge
- missing data
- missing values
- input data
- learning algorithm
- high dimensionality
- high throughput
- structure learning
- random variables
- training data
- image processing