Pre-processing Agilent microarray data

Data Pre-processing in Microarray Gene Expression Profiling

DNA microarray has become a powerful tool for researchers to simultaneously monitor the expression patterns of thousands of genes during cellular differentiation and response (DeRisi et al., 1997; Brown and Botstein, 1999; Young, 2000). With the development of the technology, more and more data are available for further analysis and the challenge now is to make sense out of such massive data se...

cDNA Microarray Data Normalization

Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases

Today, a great deal of data is generated in the medical field. Acquiring useful knowledge from this raw data requires data processing and detection of meaningful patterns and this objective can be achieved through data mining. Using data mining to diagnose and prognose heart diseases has become one of the areas of interest for researchers in recent years. In this study, the literature on the ap...

Microarray Data Processing and Analysis

DNA arrays technologies make possible the monitoring of changes in the expression patterns of thousands of genes. The analysis of such data has become a computationally-intensive task that requires technological developments at various stages, from the design of the array, to image analysis, database storage, data processing and clustering and information extraction. Here a review of the curren...

Pre-Processing Mass Spectrometry Data

Mass spectrometry is actively being used to discover disease-related proteomic patterns in complex mixtures of proteins derived from tissue samples or from easily obtained biological fluids. The potential importance of these clinical applications has made the development of better methods for processing and analyzing the data an active area of research. In this chapter, we overview basic concep...