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Multiple studies have considered that ∆VTI can accurately and sensitively predict fluid responsiveness [ 18, 29, 33, 35, 39].
We developed an alternative computational method to more sensitively predict sRNA-encoding genes and score these predicted genes based on several features to allow identification of the strongest candidates.
As we suspected that S. meliloti would encode more sRNA transcripts, we developed an alternative computational method to more sensitively predict sRNA-encoding genes, which introduces a novel cumulative scoring procedure to identify the strongest candidates.
To achieve this, we applied a machine learning approach utilizing support vector machines (SVMs) (Ben-Hur et al., 2008) and curated positive training sets from the literature (Tables S2 and S3) to sensitively predict cognate kinase-substrate relationships using the combined data from both of our large-scale phosphoproteomics screens.
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The analysis results indicate that Vaxign specifically and sensitively predicts known vaccine targets and also provides new vaccine target candidates.
Profiling of neurodegeneration marker proteins in cerebrospinal fluid is increasingly used in clinical diagnosis: a raised ratio of total tau protein to beta amyloid1 42 peptide sensitively predicts Alzheimer's pathology, 18 and incorporation of other amyloid and phosphorylated tau species may further enhance diagnosis.
In contrast, mid-upper arm circumference measurements have previously been shown to reflect the body condition of wild baboons [ 49], and MUAF has been found to predict nutritional status more sensitively than either of its constituent components, i.e. upper arm circumference or triceps skinfold thickness, alone [ 50].
Although the storm risk model does not predict windthrow probability climate-sensitively, assumptions on the frequency and intensity of storm events under climate scenarios alter the interpretation when transferring vulnerability probabilities into damages and losses.
The extensive use of such assays depends on their ability to sensitively and specifically detect target organisms and to predict the diseases they cause.
In addition, 4DST uptake in a nodal lesion may predict the spread lesion and recurrence more sensitively than other factors.
On the other hand, they are not well suited to predict the properties of the protostars themselves, which depend sensitively on the properties of the gas on scales comparable to or smaller than the accretion radius.
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