… Our results suggest that prediction of phenotypic measures can be improved by including …
in computational models, that different tasks provide complementary information for prediction, …

… performance is evaluated by comparing the predicted phenotypic measure against the
actual phenotypic measure. In other words, the training data is used to define the …

… are mRNA expression profiles, because of the technical ease of making genome-wide
measurements [31]. Predictive models based on gene expression are already potentially useful in …

… analyte measurements to generate predictive models of discrete (… We describe different
approaches for phenotypic modeling, using … spline modeling. We provide guidance on post hoc …

… prediction models and can discover non-linear relationships within datasets. The use of complex
ML and DL models to associate plant genotypes with phenotypes … dynamically measure …

… phenotypic assay data can be sufficiently robust and reproducible for the development of
predictive models… comprise the BioMAP profiles is a direct measure of target activity. Rather, …

… phenomics (QIP), consistently shows that phenotypic imaging signatures of various cancers
relate to … We have developed a measure of injury called disruption index of the structural …

… Predicted current phenotypic measures for male body weight in grams during the growing
… For the phenotypic prediction models, for all of the age phases, the body weight distribution …

… robustness of experimental testing improves concordance with phenotypic prediction, we
first look at the value of repeated measures of the same phenotypic assay. In a recent study of …

… In silico model predictions and in vitro measurements of locally invasive cell clusters in …
phenotype. Future multidisciplinary investigations should exploit the power of predictive modeling …