Download Data mining for genomics and proteomics: Analysis of gene by Darius M. Dziuda PDF

By Darius M. Dziuda

Info Mining for Genomics and Proteomics makes use of pragmatic examples and an entire case learn to illustrate step by step how biomedical experiences can be utilized to maximise the opportunity of extracting new and valuable biomedical wisdom from facts. it truly is a great source for college students and pros concerned with gene or protein expression information in various settings.

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Extra info for Data mining for genomics and proteomics: Analysis of gene and protein expression data

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However, we have yet to see a single preprocessing method that would be widely accepted as the best. “Conflicting reports have been published comparing the more popular methods” (Irizarry et al. 2006). 3 LOW-LEVEL PREPROCESSING OF AFFYMETRIX MICROARRAYS 27 approaches are not necessarily invariable; they may depend on idiosyncrasies of the processed data set. It is possible that the “best” method will have a collection of approaches and will dynamically select those that are most appropriate for a particular data set.

Once the probe-level signal intensities are determined, the summarization step combines them into a single expression level for a probe set. There are many methods for the low-level preprocessing of Affymetrix arrays and new methods are constantly reported. However, we have yet to see a single preprocessing method that would be widely accepted as the best. “Conflicting reports have been published comparing the more popular methods” (Irizarry et al. 2006). 3 LOW-LEVEL PREPROCESSING OF AFFYMETRIX MICROARRAYS 27 approaches are not necessarily invariable; they may depend on idiosyncrasies of the processed data set.

The way the protein folds into its three-dimensional form is determined by its sequence of amino acids. Proteins are essential components of all living cells and each of them has a unique function. Examples of proteins include enzymes, hormones, and antibodies. The number of proteins in the human proteome is much larger than the number of protein-coding genes in the human genome. This is mostly due to alternative splicing (when more than one protein is produced by different combinations of exons of the same gene) and post-translational modifications of proteins.

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