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In this paper, we will discuss the process of using omics data to discover a molecular signature.
The novelty of the approach presented in this paper is that we use robust pre-processing steps and the LAD methodology to mine proteomic data to discover a minimum sized support-set.
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Although many methods have been proposed for using family data to discover rare variants involved in a disease, a majority of them focus on a specific pedigree structure and are designed to analyze either binary or continuously measured outcomes.
Also, a comparison was done between the weekday and weekend data to discover if there is a significant difference between both.
Most of us ignore cancer until someone close is diagnosed, but instead society could zero in on this killer by recording massive data to discover better treatments before a loved one is in its crosshairs.
Multiple response optimization was applied to the experimental data to discover the optimal conditions for a set of response, simultaneously, by using a desirability function.
In this study, we have applied deep sequencing followed by bioinformatical analysis of the acquired data to discover novel porcine miRNAs from a pool of porcine intestinal samples.
In the context of systems biology, visualization will serve as an integrative platform for heterogeneous data, to discover individual and system-wide changes.
Only a few methods are available that model complete eQTL data to discover broader eQTL structure.
The new method described in this article can serve as a powerful framework for the simultaneous integration of diverse data to discover complex regulatory patterns.
We believe this will help astronomers to interactively access and analyze data to discover asteroids.
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CEO of Professional Science Editing for Scientists @ prosciediting.com