Sentence examples for successful for predicting from inspiring English sources

Also, since the binary disease outcomes, typically in the form of case or control dichotomy, may not provide the most reliable study phenotypes, the predictive modeling frameworks might become more successful for predicting quantitative phenotypic traits [ 90- 92].

In this article, we report on the evaluation of seven different machine learning algorithms applied to a new residential data set that contains sensor measurements collected every 15 min, with the objective of determining which techniques are most successful for predicting next hour residential building consumption.

The nearest neighbour approaches that have been so successful for predicting duplex stability, such as from (SantaLucia, 1998), are not applicable to folded-back structures such as G-quadruplexes.

The free volume model is probably the most successful model for predicting the diffusivity of small molecules in polymers.

Most of the successful models for predicting compressive strength of such laminates require "fracture" toughness associated with kink-band propagation under in-plane compression.

CG−MD simulations have provided a successful tool for predicting interactions of lipids with proteins (29), and therefore, this method was used to predict the interactions of the anionic lipid PIP2 with Kir channels.

All tissue and tissue-unique TF pairs as well as their potential biological functions are listed in Additional File 2. Although the function conservation approach has been proven to be a successful means for predicting interacting TFs [ 22], we sought to assess the validity of the identified tissue TF pairs.

Additionally, we assessed whether the predictive value of the frequency to tidal volume ratio (f/VT), widely used for predicting successful extubation, could be enhanced by the addition of ATC, that is, ATC-assisted f/VT.

Chen, W. et al. Establishing decision trees for predicting successful postpyloric nasoenteric tube placement in critically ill patients.

IL-22 is a member of the IL-10 family and has multiple theoretical reasons for predicting successful usage in PBC.

We then used a full-scale E. coli model (193 reactions, 153 metabolites) and this approach was successful in E. coli for predicting production of isobutanol: the calculated KAY values are consistent with experimental data for three genotypes previously published.