Sentence examples for evidence-based prediction from inspiring English sources

To understand the protein coding genes in the pig genome, homologous searching and transcription evidence-based prediction were performed.

Individualization of irinotecan chemotherapy using robust evidence-based prediction of efficacy and toxicity is a highly sought goal.

Calibrating parasite susceptibility data against in vivo responses, and combining these with population pharmacokinetic data in different populations, allows evidence-based prediction of likely therapeutic responses in different patient groups with different pharmacokinetics across a range of parasite burdens.

Open reading frames extracted from the assembled transcripts were used to train Augustus for ab initio prediction and, together with 159,358 Uniprot ascomycete curated proteins, were used for evidence-based prediction using the Maker pipeline [ 45].

In some cases, de novo gene predictions from genscan or evidence-based prediction with N-scan (UCSC Genome Browser, accessed 17 April 2015) did identify overlapping open reading frames, however, these annotations were typically of poor quality (data not shown) with multiple run-on annotations linking two or more MHC class I gene features.

Gene and protein models were derived from evidence-based predictions using MAKER software after initially assessing gene predictions from Augustus and MAKER.

This pipeline uses a combination of evidence-based gene prediction (RNA-seq and proteins) and ab initio gene prediction.

This evidence-based gene prediction has the advantage over the classic ab initio prediction of finding gene structures by making use of the mRNA-Seq expression profiles.

But even for these more sophisticated, evidence-based tools prediction of the exact exon intron structures and splice-variants of genes remains a challenge.

An early identification of individual's prognosis according to evidence-based clinical prediction rules [ 2] may contribute to tailored management in accordance with identified factors in the acute and subacute phases.

The CDS tool was part of an mHealth system comprising a mobile application that consisted of an evidence-based risk prediction and management algorithm, and a server-side electronic medical record system.