Sentence examples for set inference from inspiring English sources

In this paper, a fast and accurate predictor set inference framework which linearly combines some inference methods is proposed.

In such a situation the LP optimization can play the additional role of filtering the initial set of genomes: for example, in the Pseudomonas ndLP analysis we reduced the candidate set of 'interesting' genomes from 849 to 203, which would accelerate subsequent steps of orthologous set inference, sequence alignment and phylogenetic analysis.

Indication inference is performed by identifying new indication candidates from the multi-type interaction network using the extracted TNM set as inference models.

F0211-1 and F0211-3 may be part of the same CRISPR as inferred from their location within the genome; however, as this strain is only publically available as a draft WGS project data set, this inference cannot be confirmed.

There are two main causes resulting this phenomenon: (1) many of the target genes identified by peak-based method may not be ER alpha targets according to TIP calculated probabilities; (2) gene set based inference cannot effectively capture the information provided by TF binding data from ChIP-seq experiments.

When shared, the data streams can easily be mined to draw a rich set of inferences regarding private behaviors and lifestyle patterns.

Additionally, our data set allowed inferences of homologies for over 70% of the turtle chromosome pairs (18 of 25) for the first time, including intermediate sized and microchromosomes.

Furthermore, for this setting an inference algorithm that is a generalisation of weighted model counting is developed, making use of SMT solvers.

We performed operations to minimize the inference set and eliminate redundancies and data clustering [43].

We also applied the original sequence data set for Bayesian inference.

The objective is to reduce the fuzzy rules and make the fuzzy inference set less computationally intensive and fast, as well as exploiting the advantages of easy trainability and high generalizability.