Sampling methods data mining

Developments in mass spectrometry technology, together with the availability of extensive DNA and protein sequence databases and software tools for data mining, has made possible rapid and sensitive mass spectrometry-based procedures for protein identification. Two basic types of mass spectrometers are commonly used for this purpose MALDI-TOF-MS and ESI-MS. MALDI-TOF instruments are now quite common in biochemistry laboratories and are very simple to use, requiring no special training. ESI instruments, usually coupled to capillary/nanoLC systems, are more complex and require expert operators. We will therefore focus on the use of MALDI-TOF-MS, although the sample preparation is identical for both methods. The principle behind the use of MALDI-TOF-MS for protein identification is that the digestion... 

The Decision tree method is widely used for classification and regression. A decision tree is a flow-chart-like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and leaf nodes represent classes or class distributions. In order to classify an unknown sample, the attribute values of the sample are tested according to the decision tree starting from the root until one of the leaves. To build decision trees, a data mining algorithm recursively inspects the available data set to find decisions that optimally split the data into distinguished subsets. An important property of this technique is that its functioning is easily understood. 

Mainly urban soils not affected by smelting, mining, and milling. Reflects periods of leaded gasoline use or recent phaseout data. Various soil-sampling methods used. GM = geometric mean. ... 

Fabris, A., Biasioli, R, Granitto, P. M. et al. (2010) PTR-TOF-MS and data-mining methods for rapid characterisation of agro-industrial samples influence of milk storage conditions on the volatile compounds profile of Trentingrana cheese. / Mass. Spectrom. 45, 1065. 

Reis, A.P., Sousa, A.J., Da Silva, E.F. and Fonseca, E.C. (2005) Application of geostatistical methods to arsenic data from soil samples of the Cova dos Mouros mine (Vila Verde-Portugal). Environmental Geochemistry and Health, 27(3), 259-70. 

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