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