Sentence examples for motif inference algorithms from inspiring English sources

These can subsequently be used as prior knowledge to increase the detection sensitivity of motif inference algorithms such as SOMBRERO [44], PRIORITY [45] or NestedMICA [46].

High-throughput protein DNA interaction assays such as protein binding microarrays (Berger et al., 2006), bacterial one-hybrid screens (Meng et al., 2005), large ChIP-chip studies and advances in motif inference algorithms and tools has, however, caused an expansion of motif databases such as UNI-PROBE (Newburger and Bulyk, 2009), TRANSFAC (Matys et al., 2006) and JASPAR (Bryne, 2008).

It also offers motif inference with the sensitive NestedMICA algorithm, as well as overrepresentation and pairwise motif matching capabilities.

Phylogenetic analysis was performed using both maximum likelihood (ML) and Bayesian inference algorithms.

Consequently such networks cannot be deemed as totally reliable benchmarks to compare inference algorithms.

Therefore SAMBA provides an efficient way of validating network inference algorithms.

Four multivariate time series inference algorithms as described above are evaluated in this experiment.

Therefore, inference algorithms are necessary.

However, for this simple case sophisticated inference algorithms are unnecessary.

This will lead to more complicated inference algorithms.

All these four module inference algorithms are statistics-based methods.