.png){kind=icon}
Return
Machine learning in bioinformatics
.png){kind=icon}
OA
AI
DOI：10.1093/bib/bbk007.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
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
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.7
Papers:
5.8K
Citations:
2.7W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveShareSave
View more