Sentence examples for biological knowledge of connectivity from inspiring English sources

This article proposes an inference approach utilizing prior biological knowledge of connectivity to generate a BN with biologically plausible state transition structure and explaining the observed transitions in the data.

Thus, for cases of limited experimental data, the prior biological knowledge of connectivity should be utilized to arrive at robust BNs with biologically plausible state transition structures.

This shows that our inference algorithm was able to utilize the prior biological knowledge of connectivity and limited experimental data to arrive at a biological plausible robust BN.

We present an inference approach for a Boolean Network (BN) model of a GRN from limited transcriptomic or proteomic time series data based on prior biological knowledge of connectivity, constraints on attractor structure and robust design.

To further illustrate the importance of prior biological knowledge of connectivity on the success of the inference algorithm, we've randomly changed the predictor set of the BN (BN1) in Figure 6 and observed the corresponding values of R max and R mean-n in table 4 (figures are not shown).

High performance of our proposed algorithm as compared to existing BN inference algorithms that depend on inference of connectivity from the data, further support the advantage of using prior biological knowledge on connectivity.

The regulators are selected from prior biological knowledge on connectivity available from public databases.

Our goal in this paper is to provide a BN inference approach from limited time series data and prior biological knowledge on connectivity.

In Haider and Pal [ 3], a Boolean Network inference algorithm from limited time series data utilizing prior biological knowledge on connectivity is presented.

Explicit knowledge of the network's connectivity can be gathered from previous biological knowledge of the system in question [ 13- 16] or from the contributed knowledge from different inference methods, particularly when heterogenous data types are available (e.g. steady state data vs. time series).

The use of biological heuristics is a flexible strategy, which utilizes prior biological knowledge of the system to design queries.