Sentence examples for many different predictors from inspiring English sources

There are many different predictors for PEE, such as partial difference expanding (PDE) predictor [12], edge-detection mechanism (MED) [13] predictor, Gaussian weight predictor [14], or accurate predictor [15].

In the past, many different predictors for response of AC/SCC to chemotherapy/chemoradiation have been investigated, ranging from simple histology to various molecular markers, such as p53, proliferative cell nuclear antigen, EGFR, Ki-67, cyclin D1, expression of thymidylate synthase, and microvessel density, in both tissue and serum.

These three features of the breast cancer prognostic gene space - the large number of individually prognostic features, the unstable rankings, and the highly correlated expression of informative genes - explain why it is easy to construct many different prognostic predictors that perform equally well even if they rely on nominally different genes in the model.

As the cross-validation technique allows many different equivalent predictor weights, the results obtained by Abadie et al. (2015) are arbitrary in the sense that the authors could have obtained different results if they had used other software or organized the data differently.

Many different gene expression-based predictors have been developed for breast cancer [ 1- 9], and two different gene expression predictors have reached the final step of prospective clinical trial testing [ 10, 11].

A large set of predictors, involving many different bodily functions and activities, were included.

Risk and protective factors across many different domains and time frames were included as predictors of the trajectories.

Many research groups have developed a number of different predictors of disorder in addition to the examples listed above.

There is growing body of literature that suggests that patients' expectations are associated with clinical outcomes in many different treatments, and therefore may be an important predictor for treatment outcomes.

With a large number of trees, the predictor space is sliced up in many different ways.

Our data demonstrate that many different feature sets and classification methods can yield similarly accurate predictors for a given endpoint.