Linked model vs not-linked model.
Maria Simak
Chen-Hsiang Yeang
Henry Horng-Shing Lu
10.1371/journal.pone.0185475.g001
https://plos.figshare.com/articles/figure/Linked_model_vs_not-linked_model_/5474608
<p>Model M <sub>not linked</sub> assumes that Gene 1 and Gene 2 are unrelated; whereas Model M <sub>linked</sub> assumes that Gene 1 regulates Gene 2. For both models, <i>x</i><sub>1</sub> and <i>x</i><sub>2</sub> are hidden gene states; while <i>y</i><sub>1</sub> and <i>y</i><sub>2</sub> are observed values.</p>
2017-10-05 17:41:28
cerevisiae time course data
alternative methods
gene expression data
Boolean Function Network
Boolean functions
show consistency
Saccharomyces cerevisiae
Boolean Function Networks
Boolean logic functions
control mechanisms
HMM
high-throughput transcriptomic data
GRN
network reconstruction
Exploring candidate
Markov model
Gene Regulatory Network
genome level
time course datasets
gene sets
genes relations
BFN approach
cell cycle phases
screening tool