.png){kind=icon}
返回
Machine learning in bioinformatics
.png){kind=icon}
OA
AI
DOI：10.1093/bib/bbk007.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
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.
Keyword:
machine learning
bioinformatics
supervised classification
clustering
probabilistic graphical models
optimisation
heuristic
genomics
proteomics
microarray
system biology
evolution
text mining
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.7
论文数:
5.8K
被引数:
2.7W
机构
暂无机构信息
引用论文
.png){kind=icon}
查看更多内容