Ontology highlight
ABSTRACT:
SUBMITTER: Wang C
PROVIDER: S-EPMC6015481 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Wang Chunyan C Xu Yiqing Y Wang Xuelin X Zhang Li L Wei Suyun S Ye Qiaolin Q Zhu Youxiang Y Yin Hengfu H Nainwal Manoj M Tanon-Reyes Luis L Cheng Feng F Yin Tongming T Ye Ning N
PeerJ 20180620
Gene expression profiling data provide useful information for the investigation of biological function and process. However, identifying a specific expression pattern from extensive time series gene expression data is not an easy task. Clustering, a popular method, is often used to classify similar expression genes, however, genes with a 'desirable' or 'user-defined' pattern cannot be efficiently detected by clustering methods. To address these limitations, we developed an online tool called GEs ...[more]