Sentence examples for models for discovering from inspiring English sources

Language is a uniquely human trait, which poses limitations on animal models for discovering biological substrates and pathways.

The authors used a combination of topic models (statistical models for discovering abstract topics in a collection of documents) and generalized additive models (linear models in which the linear predictor is dependent on unknown, smoother functions) generated using SAGE as well as SVM in their classification experiments.

115 There is a need to develop additional cell-based and explant-based models for discovering new biomarkers of cervicovaginal inflammation for assessment of microbicide safety before clinical evaluation can be initiated.

To have an adequate model for discovering association rules from big data, we think it is important to adapt FP-growth algorithm on Apache Spark to PFP-growth (Fig. 4) for mining frequent itemsets then generates association rules.

To construct an adequate model for discovering interesting rules from an accidents database, it is important to integrate decision-making methods into the association rule mining process, in order to improve the quality of the extracted rules and build a performance model for road accident analysis.

This organism is also a paramount model for discovering basic biological mechanisms.

Poplar seed hairs represent an ideal model for discovering novel mechanisms regulating cell fate determination and cell elongation at the single-cell level.

In this paper, a Markov Chain Model for discovering important cancer genes through integration of heterogeneous sources of information are proposed: patient mutation profile, gene gene interaction network and gene correlation network in an unsupervised manner.

Other investigators have taken advantage of the link between genetic variation and gene expression by integrating eQTLs with coexpression networks and showing that this is a powerful model for discovering novel genes and gene networks relevant to disease [ 9, 10].

The latter is a model-based framework for discovering terms and facts from a database.

The potential value of these data rests both in delineating new hypotheses for metallothionein evolution and in suggesting new model systems for discovering the normal function of metallothionein and related proteins in cells.