Sentence examples for model building algorithm from inspiring English sources

The Model Building Algorithm (MBA), a current state-of-the-art computational method to build tissue-specific metabolic models, has been used to build liver, generic cancer, and two cancer cell line metabolic models thus far[ 14- 16].

Toxtree algorithms are implemented as a model building algorithm, although being fixed rules and not requiring a training dataset.

A full leave-one-out cross validation (i.e. features are reselected and model parameters are rebuilt at each iteration) is a stringent and relatively unbiased estimate of the model building algorithm error [ 34, 35].

Two major types of algorithms are data processing ones and model building algorithms.

Additionally, while mCADRE and other model building algorithms (MBA, GIMME, iMAT, etc).

We have developed a model-building algorithm that selects the parsimonious informative set of predictors.

In another transcriptomic and proteomic analysis, Zhao et al. reconstructed a heart-specific metabolic network using transcriptome and proteome data with a model-building algorithm.

Model-building algorithm [ 70] has been recently reported with an added feature allowing it to also integrate phenotypic data on top of all the above-mentioned omics data sets, thus potentially leading to tissue-specific model reconstruction.

The human metabolic model was generated based on MBA algorithm [ 8], which is a model-building algorithm used to derive tissue-specific metabolic models from a generic model [ 6] by integrating a variety of tissue-specific molecular data sources, including literature-based knowledge, transcriptomic, proteomic, metabolomic and phenotypic data.

We applied model-building algorithm (MBA) [ 6, 13] by using Recon 1 as a template, the algorithm MBA can automatically select only those genes that are relevant to the target tissue out of the generic model based on the literature and multiple omics data.

The proposed MOEA is termed the epsilon-dominance hierarchical Bayesian optimization algorithm (ε-hBOA), which is representative of a new class of probabilistic model building evolutionary algorithms.