Abstract
Data mining is an interdisciplinary area of computer science combining database systems, statistical and machine learning approaches, and artificial intelligence focused on extraction of patterns and implicit relationships from data. In the era of high-throughput -omics technologies, the amount of scientific data that needs to be analyzed becomes problematic if not supported by powerful computers and sophisticated data mining algorithms, and thus, data mining techniques become increasingly popular among the scientific community. This chapter describes in detail the data mining process with special emphasis on its application in the field of -omics research.
Original language | English |
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Title of host publication | Integration of Omics Approaches and Systems Biology for Clinical Applications |
Publisher | wiley |
Pages | 233-247 |
Number of pages | 15 |
ISBN (Electronic) | 9781119183952 |
ISBN (Print) | 9781119181149 |
DOIs | |
Publication status | Published - 17 Nov 2017 |
Externally published | Yes |
Keywords
- -omics data mining
- Classifiers
- Machine learning
- Models
- Prediction
- Statistics
ASJC Scopus subject areas
- General Chemistry