Sentence examples for predictions specifically for from inspiring English sources
In addition, researchers will want access to tools giving them information and predictions specifically for the genes they are interested in, avoiding idiosyncratic differences between organisms and the problems of identifying bonafide orthologs between model and crop organisms.
GenBank-deposited ORF predictions specifically for pleD from wOo, and cckA of wAlbB and wMel strains, were confirmed using the alignment function of CLC sequence viewer (version 6.9.1; http://CLCbio.com).
First, we aimed to use the extensive biochemical literature referenced in EcoCyc to develop a model with improved accuracy for phenotypic prediction, specifically for predicting the phenotypes of gene knock-outs, and for predicting growth or lack thereof under different nutrient conditions.
Cha et al. (2010) have recently identified a classifier for hepatotoxicity prediction, specifically for non-steroidal anti-inflammatory drugs (NSAIDs) by analyzing differential gene expression profiles in HepG2 cells.
The GEM-PRO in this study enables proteome-wide binding site prediction specifically for E. coli metabolism, covering protein conformations in the physiological context of multimeric complexes including potential binding sites at protein-protein interfaces.
The presented meta-model is a subset of the Descartes Meta-Model (DMM) for online performance prediction, specifically designed for use in online scenarios.
This is an important consideration in future studies of dynamic risk factors for CAD in a chronic relapsing-remitting disease such as SLE and may be used to derive risk-prediction models specifically for SLE.
However, since evolutionary methods are non-specific enough to be used for identification of any type of functional site [ 165- 169], this lack of specialization may reduce performance for PPIS prediction specifically [ 4].
In later studies focused on cutoff points for AKI prediction specifically in PICU patients, researchers evaluated biomarker combinations and even suggested uNGAL as a predictor of mortality [ 29, 30].
These four groups were combined in different ways for subtype prediction and survival prediction, specifically, the activated versus the germinal center and the alive versus the dead.
Challenges have contributed to the improvement and availability of a variety of methods for named-entity prediction (6), and more specifically for gene/protein prediction and normalization (7, 8).
