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Machine learning in bioinformatics
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DOI：10.1093/bib/bbk007.png)
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Abstract
En 中文
This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochastic heuristics for optimization. Applications in genomics, proteomics, systems biology, evolution and text mining are also shown.
Keywords:
machine learning
bioinformatics
supervised classification
clustering
probabilistic graphical models
optimisation
heuristic
genomics
proteomics
microarray
system biology
evolution
text mining
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