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A centralized framework for management of hybrid biosignals is proposed in order to design experimental studies, store hybrid biosignals and the associated metadata, view, validate, synchronize, and evaluate all data in a flexible and obvious way. Different studies performed at different times with different subjects, physiological maneuvers, applied devices and heterogeneous biosignals require a...
Biomedical research increasingly depends on access to and analysis of distributed medical and biomedical data. In biomedical research, datasets are often collected at multiple locations, as it is difficult to recruit required patient populations at one location. The sensitive nature of these datasets leads to a need for secure sharing methods that can work with distributed databases and image archives...
Micro-CT is a useful imaging tool for a wide range of biomedical research and preclinical applications. Accurate three-dimensional images of the subject such as vasculature specimens can be obtained and further be used to derive quantitative anatomic and physiologic information. In this work, we applied the adaptive-steepest-descent-projection-onto-convex-sets (ASD-POCS) algorithm to reconstructing...
In this paper we outline techniques to create virtual organizations for bio-medical research studies and discuss metrics to assess information fidelity, in other words how close the information we can extract from the data collected reflects the reality and allows us to draw well-founded conclusions.
Applications of clustering algorithms in biomedical research are ubiquitous, with typical examples including gene expression data analysis, genomic sequence analysis, biomedical document mining, and MRI image analysis. However, due to the diversity of cluster analysis, the differing terminologies, goals, and assumptions underlying different clustering algorithms can be daunting. Thus, determining...
cDNA microarray expression data is widely used to help biomedical research. The data must be normalized because of various error functioned interferences existed. This paper has discussed the normalization for supervised multi-class (phenotype) data. All the classes are the type of multi-sample. Also, a reasonable hybrid cross-phenotype normalization (CPN) algorithm based on iterative nonlinear regression...
Recent advances and new technologies in biological and medical research have resulted in a rapid accumulation of enormous amounts and types of data and data analysis tools. Although most of these databases and tools are available through the internet and are easily accessible for users, they are highly heterogeneous making it difficult to integrate into efficient workflows. In this paper, we present...
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