Data data dissertation mining ms proteomic seldi technique

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To find new potential biomarkers for detection of endometrial cancer EC , 70 serum samples including 40 from EC patients and 30 from normal healthy females were detected by surface-enhanced laser desorption-ionization time-of-flight mass spectrometry SELDI-TOF-MS using WCX2 weak cation exchange protein chip. Mass spectra were then assessed with three powerful data-mining tools: a tree classifier, Biomarker Wizard software, and Biomarker Patterns System. The combination of surface-enhanced laser desorption-ionization with bioinformatics tools could help find new biomarkers and establish with high sensitivity and specificity for the detection of EC. Abstract To find new potential biomarkers for detection of endometrial cancer EC , 70 serum samples including 40 from EC patients and 30 from normal healthy females were detected by surface-enhanced laser desorption-ionization time-of-flight mass spectrometry SELDI-TOF-MS using WCX2 weak cation exchange protein chip. Publication types Comparative Study Evaluation Study.
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16 Data Mining Techniques: The Complete List

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Data Mining Concepts

Multiple reaction monitoring-mass spectrometry MRM-MS of peptides with stable isotope-labeled internal standards SIS is a quantitative assay for measuring proteins in complex biological matrices. These assays can be highly precise and quantitative, but the frequent occurrence of interferences require that MRM-MS data be manually reviewed by an expert. The AuDIT module implements an algorithm that, in an automated manner, identifies inaccurate transition data based on the presence of interfering signal or inconsistent recovery between replicate samples.
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