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Since scientific research progress within this standard, a more complete biological understanding of the specific events underlying the multistage carcinogenesis model is essential.
Integration of microarray and proteomics data presents a more complete biological perspective than either alone, however, in other studies where both mRNA and protein abundance have been examined, there has often been poor correlation between the two data sets [93] [96].
A study in Costa Rica concludes that a more complete biological information is received compared to affective information.
Hence, in order to achieve a more convincible conclusion, further analysis using larger sample size and more complete biological knowledge base and pathway information is required, and stratified analyses on different factors such as age, sex, disease severity, and platform usage are needed.
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Similarly, the synergistic combination of anatomical imaging (e.g. computed tomography-CT, magnetic resonance imaging-MRI) and molecular imaging techniques (e.g. positron emission tomography-PET, single photon emission computed tomography-SPECT) can provide a more complete insight into biological processes within their macro-anatomical, often whole-body, environment.
We believe that the classification performance of the pathway-based methods will be considerably improved once we have a more complete list of biological pathways.
Acquiring that knowledge promises to yield more complete insights into biological variations and etiology of diseases.
At the same time, exponentially growing sequence databases including complete genome sequences [ 3] have allowed a more complete picture of biological lineages over time to be reconstructed, revealing new aspects of the evolutionary process.
The authors conclude that preliminary hypothesis can be generated based on GA selected features (genes) however it is also important to consider more complete knowledge of biological pathways from e.g. public databases or text mining tools.
Integrative analysis of these data sources will lead us a more complete understanding of how biological entities (e.g., genes and proteins) coordinately perform their biological functions in biological systems.
In addition, the records available to researchers concerning release numbers, location, and population origin will provide a more complete information base for biological control organism than is usually available for introduced species (Marsico et al. 2010), making biological control agents potential model organisms for the study of evolution.
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