Integrative data mining the new direction in bioinformatics.

Biological research is becoming increasingly database driven, motivated, in part, by the advent of large-scale functional genomics and proteomics experiments such as those comprehensively measuring gene expression. These provide a wealth of information on each of the thousands of proteins encoded by...

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE Engineering in medicine and biology magazine 20, 4 (2001).
1. Verfasser:	Bertone, P.
Format:	Artikel
Sprache:	English
Schlagworte:	Bayesian networks. SOFM. Bioinformatics. Clustering methods. Decision trees. Gene expression. High-throughput proteomics. Integrative data mining. Large-scale studies. Machine learning techniques. Microarray expression data. Protein function. Subcellular localization. Support vector machines. Target selection. Unsupervised learning.