ICM: a web server for integrated clustering of multi-dimensional biomedical data

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, whil...

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Main Authors:	He, Song, He, Haochen, Xu, Wenjian, Huang, Xin, Jiang, Shuai, Li, Fei, He, Fuchu, Bo, Xiaochen
Format:	Online
Language:	English
Published:	Oxford University Press 2016
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987925/

id	pubmed-4987925
recordtype	oai_dc
spelling	pubmed-49879252016-08-22 ICM: a web server for integrated clustering of multi-dimensional biomedical data He, Song He, Haochen Xu, Wenjian Huang, Xin Jiang, Shuai Li, Fei He, Fuchu Bo, Xiaochen Web Server issue 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/. Oxford University Press 2016-07-08 2016-04-30 /pmc/articles/PMC4987925/ /pubmed/27131784 http://dx.doi.org/10.1093/nar/gkw378 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	He, Song He, Haochen Xu, Wenjian Huang, Xin Jiang, Shuai Li, Fei He, Fuchu Bo, Xiaochen
spellingShingle	He, Song He, Haochen Xu, Wenjian Huang, Xin Jiang, Shuai Li, Fei He, Fuchu Bo, Xiaochen ICM: a web server for integrated clustering of multi-dimensional biomedical data
author_facet	He, Song He, Haochen Xu, Wenjian Huang, Xin Jiang, Shuai Li, Fei He, Fuchu Bo, Xiaochen
author_sort	He, Song
title	ICM: a web server for integrated clustering of multi-dimensional biomedical data
title_short	ICM: a web server for integrated clustering of multi-dimensional biomedical data
title_full	ICM: a web server for integrated clustering of multi-dimensional biomedical data
title_fullStr	ICM: a web server for integrated clustering of multi-dimensional biomedical data
title_full_unstemmed	ICM: a web server for integrated clustering of multi-dimensional biomedical data
title_sort	icm: a web server for integrated clustering of multi-dimensional biomedical data
description	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/.
publisher	Oxford University Press
publishDate	2016
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987925/
_version_	1613628911175860224

ICM: a web server for integrated clustering of multi-dimensional biomedical data

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