Research in Clinical Dermatology

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Protein Profiling

Protein expression profiling is defined generally as identifying the proteins expressed during a particular tissue, under a specified set of conditions and at a specific time, usually compared to expression in reference samples. This information is beneficial in drug discovery and diagnosis also as in understanding response mechanisms at the protein level. We may identify all the proteins responding to a specific stimulus and choose those whose expression changes most. Or we may isolate significant protein variables then identify them. These definitive sets of proteins (protein expression signatures; PES) are specific to diseases, toxicants, physical stresses, and to degrees of stress severity. Here we describe a way , supported machine learning, for isolating the sets of proteins, before identifying them by name, which classify accurately the treatment classes during a study. The principle during this chapter is that if proteins related to known classes of interest are often wont to identify unknown classes then the proteins are definitive for diagnosis.

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