title: ICM: a web server for integrated clustering of multi-dimensional biomedical data.
abstract: Large-scale efforts for parallel acquisition of multi-omics profiling continue to generate extensive amounts of multi-dimensional biomedical data. Thus, integrated clustering of multiple types of omics data is essential for developing individual-based treatments and precision medicine. However, while rapid progress has been made, methods for integrated clustering are lacking an intuitive web interface that facilitates the biomedical researchers without sufficient programming skills. Here, we present a web tool, named Integrated Clustering of Multi-dimensional biomedical data (ICM), that provides an interface from which to fuse, cluster and visualize multi-dimensional biomedical data and knowledge. With ICM, users can explore the heterogeneity of a disease or a biological process by identifying subgroups of patients. The results obtained can then be interactively modified by using an intuitive user interface. Researchers can also exchange the results from ICM with collaborators via a web link containing a Project ID number that will directly pull up the analysis results being shared. ICM also support incremental clustering that allows users to add new sample data into the data of a previous study to obtain a clustering result. Currently, the ICM web server is available with no login requirement and at no cost at http://biotech.bmi.ac.cn/icm/.
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
authors.forename: Song
authors.initials: S
authors.lastname: He
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
authors.forename: Haochen
authors.initials: H
authors.lastname: He
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
authors.forename: Wenjian
authors.initials: W
authors.lastname: Xu
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
authors.forename: Xin
authors.initials: X
authors.lastname: Huang
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
authors.forename: Shuai
authors.initials: S
authors.lastname: Jiang
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China pittacus@gmail.com.
authors.forename: Fei
authors.initials: F
authors.lastname: Li
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China hefc@bmi.ac.cn.
authors.forename: Fuchu
authors.initials: F
authors.lastname: He
authors.affiliation: Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China boxiaoc@163.com.
authors.forename: Xiaochen
authors.initials: X
authors.lastname: Bo
mesh_terms: D035843:Biomedical Research / Q000706:statistics & numerical data*; D016000:Cluster Analysis; D019175:DNA Methylation; D020869:Gene Expression Profiling; D015973:Gene Expression Regulation, Leukemic; D018740:Genetic Heterogeneity; D006801:Humans; D033181:Information Dissemination; D020407:Internet; D015470:Leukemia, Myeloid, Acute / Q000145:classification / Q000235:genetics* / Q000401:mortality / Q000473:pathology; D035683:MicroRNAs / Q000235:genetics* / Q000378:metabolism; D057285:Precision Medicine; D012333:RNA, Messenger / Q000235:genetics* / Q000378:metabolism; D016019:Survival Analysis; D014218:Triage / Q000706:statistics & numerical data; D014584:User-Computer Interface
chemical_list: D035683:MicroRNAs; D012333:RNA, Messenger