An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis

Recent years have seen increasing quantities of high-throughput biological data available for genetic disease profiling, protein structure and function prediction, and new drug and therapy discovery. High-throughput biological experiments output high volume and/or high dimensional data, which impose...

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Bibliographische Detailangaben

Hauptverfasser:	Kamal, Abu H. M., Xingquan Zhu, Pandya, Abhijit S., Sam Hsu, Yong Shi
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Biology DNA Junctions Proteins Supervised learning Support vector machines
Online-Zugang:	Volltext bestellen
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