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Our approach first constructs a phenome interactome network by integrating the given phenotype similarity profile, PPI network and associations between diseases and genes.
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In most previous approaches, one first constructs a corresponding target gene cluster consisting of all the genes targeted by at least one member in the miRNA cluster.
For small-scaled problem, a dynamic programming approach is first constructed to obtain its optimal solution.
In the proposed approach, we first construct a simulation model using factorial design and central composite design (CCD), and then identify the models that best describe the relationship between the simulation responses and system factors.
We validated the approach by first constructing the 5 amino acid long H3 loop library.
Our approach involved first constructing a population-specific consolidated map by merging constituent genotype matrices for each mapping population following initial assignment to each of the 19 LGs.
We used a staged approach by first constructing the framework and indicators and then validating their content through an interactive process involving policy analysis, critical review of relevant literature and multiple stakeholder consultation.
The proposed approach consists of first constructing a dynamic dictionary of words' polarity based on a selected set of hashtags related to a given topic, then, classifying the tweets under several classes by introducing new features that strongly fine-tune the polarity degree of a post.
The hierarchical approach is to first construct a high-level colinear orthology map between a set of genomes and then compute a nucleotide-level global alignment (which requires colinearity) on each colinear orthologous block specified by the map.
The idea behind this approach was to first construct transcriptome-wide TF networks based on the GEPs from fish samples treated with multiple EDCs, and then to identify a subset of these networks significantly impacted by individual endocrine-active chemicals.
In this example the second construct has four first constructs, and each first construct has eight elemental volumes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com