Sentence examples for built models based on from inspiring English sources
In this QSAR modeling workflow, a well-established method [82] is used to define the domain of applicability of the built models based on the Euclidean distances among the training data and IVS.
As such, for each species, we built models based on all combinations of n−1 data layers, where n is the total number of layers.
Using multivariable linear regression, we built models based on bivariate associations and on our expectation of which variables would independently predict the outcomes as demonstrated by prior studies (8, 9, 28, 29).
We built models based on environmental predictors and the lineage presences resulting from the phylogenetic analyses (9, 5, and 8 sampled populations for the edwardsianus, Central, and Western lineage respectively; Additional File 1).
Miranda et al. (2002) built models based on tax parcels to predict relative lead exposure risk levels for all residential parcels in a county, combining county tax assessor, North Carolina blood lead surveillance, and 1990 U.S. Census data.
Amongst the composition-based classification methods, while TACOA [ 7] builds models based on the ratio of observed and expected frequencies of all possible tetra- and penta-nucleotides, Phylopythia [ 8] uses Support Vector Machines to capture patterns of oligonucleotide frequency distributions observed in available genome sequences.
This semi-supervised methodology allows us to build models based on weakly labelled data while incrementally learning latent positive and negative samples.
The increasing volume of chemogenomics data offers exciting opportunities to build models based on Big Data.
In this paper, we build models based on an innovative approach, which do not need to make the assumption of identical distribution.
Imoto (2006, 2007) proposed a method to build models based on multiple predictive parameters in which independence among parameters is not necessarily assumed as it has been in previous studies.
