Sentence examples for methods we build from inspiring English sources

Using Bayesian reconstruction methods, we build phylogenetic trees base on protein sequences that shed light on the evolution of V-H+PPase proteins.

Using ethnographic methods, we built a detailed picture of participants' lives, illness experiences and use (or non-use) of technologies.

By identifying the necessary parameters using system identification methods, we built up a new dynamic model for the modified configuration.

For both methods, we built models using sets of the 30 genes to predict whether "unknown" samples partitioned to one group or the other.

Methods: We built an extractor for gene gene interactions that identified candidate gene gene relations within an input sentence.

According to the integrative rules described in Methods, we built the union of the three files by automatically removing redundancies.

Following our application of the aforementioned methods, we built four models for each disease in the study, as indicated below.

For comparisons between measurements methods, we built a Bland-Altman plot between differences and averages seeking possible biases and outliers.

Using the transcription factor data described in Methods, we built a binary matrix categorizing whether a given H2H gene pair is regulated by a given TF.

By combining partial least squares and logistic regression methods, we built a multiprotein model that correctly predicted outcome in 83% of patients.

Methods: We built national spatial exposure models that used partial least squares and universal kriging to estimate annual average concentrations of four PM2.5 components: elemental carbon (EC), organic carbon (OC), silicon (Si), and sulfur (S).