Sentence examples for prediction to construct from inspiring English sources

In this direction, we designed and developed a modular protocol to integrate a set of complementary bioinformatic methods for gene expression data preprocessing, differential expression analysis, gene expression clustering, co-regulated gene module and regulator construction, DNA binding motif identification, and gene function prediction to construct and validate gene regulatory modules.

Authors state (lines 134-137): "We used the alignments obtained during these and other searches started from other query sequences along with secondary structure prediction to construct multiple alignments for Cas7 and a number of most closely related RAMP subfamilies".

Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific.

We used the alignments obtained during these and other searches started from other query sequences along with secondary structure predictions to construct multiple alignments for Cas7 and a number of most closely related RAMP subfamilies.

Because expression data were unavailable for some of the species used in this study, we used the program scnRCA (O'Neill et al. 2013) to analyze all of the GLEAN-R predictions to construct the species-specific reference gene set that exhibits the dominant codon bias for each species.

We predict the position of the moving object in the current frame using historical motion information, and then use the prediction information to construct a predictive model.

The aim of genetic prediction is to construct a model to predict the phenotype of interest using the genotype data from individuals for whom the (potentially future) phenotypic state is unknown.

An alternative to using individual markers for prediction is to construct haplotypes based on several markers surrounding a QTL.

The big challenge in solving the general carcinogenicity prediction problem is to construct a model that would be able to predict carcinogenicity for a wide diversity of molecular structures, spanning an undetermined number of chemical classes and biological mechanisms.

"Survival risk group prediction" was adopted to construct a functional genomic model that used the IPF prognostic predictor gene set to derive a prognostic index (PI) for each patient into either high or low risk for survival outcomes.

If no ESTs were available to use as an anchor for a predicted transcript, then a combination of reads (if available), prediction based on blast hits and the JGI predictions were used to construct a transcript.