Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Using microarray technology for genetic analysis in biological experiments requires computationally intensive tools to interpret results. The main objective here is to develop a ā...
Saira Ali Kazmi, Yoo-Ah Kim, Baikang Pei, Ravi Nor...
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high āinstrumental responseā) is reinforced, and that which pro...
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...