Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data.
Andrés F. López-LoperaMauricio A. ÁlvarezPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2019)
Keyphrases
- gene regulatory networks
- reverse engineering
- gene expression data
- gene expression
- microarray
- regulatory networks
- saccharomyces cerevisiae
- gene networks
- systems biology
- gene regulation
- software engineering
- object oriented
- microarray data
- biological data
- network model
- high dimensionality
- biological networks
- gene expression profiles
- probabilistic model
- interaction networks
- feature selection
- data sets
- structure learning
- complex networks
- biological processes
- high dimensional data
- genomic data
- machine learning