Title :
Machine learning in bioinformatics
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Harbin Normal Univ., Harbin, China
Abstract :
This article reviews machine learning methods for bioinformatics. Applications in genomics, proteomics, systems biology, evolution and text mining are also shown. It presents the trends of machine learning methods, such as ANNs, SVMs, Random forests and so on.
Keywords :
bioinformatics; data mining; genomics; learning (artificial intelligence); neural nets; proteomics; support vector machines; text analysis; ANN; SVM; bioinformatics; genomics; machine learning methods; proteomics; systems biology; text mining; Bioinformatics; Biological system modeling; Computational modeling; Genomics; Markov processes; Predictive models; bioinformatics; machine learning;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182026
