{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/joint-and-individual-variation-explained-jive","title":"Joint and individual variation explained (JIVE) for integrated analysis of multiple data types","arxiv_id":"1102.4110","date":"2011-02-20","proceeding":null,"authors":["Eric F. Lock","Katherine A. Hoadley","J. S. Marron","Andrew B. Nobel"],"abstract":"Research in several fields now requires the analysis of data sets in which\nmultiple high-dimensional types of data are available for a common set of\nobjects. In particular, The Cancer Genome Atlas (TCGA) includes data from\nseveral diverse genomic technologies on the same cancerous tumor samples. In\nthis paper we introduce Joint and Individual Variation Explained (JIVE), a\ngeneral decomposition of variation for the integrated analysis of such data\nsets. The decomposition consists of three terms: a low-rank approximation\ncapturing joint variation across data types, low-rank approximations for\nstructured variation individual to each data type, and residual noise. JIVE\nquantifies the amount of joint variation between data types, reduces the\ndimensionality of the data and provides new directions for the visual\nexploration of joint and individual structures. The proposed method represents\nan extension of Principal Component Analysis and has clear advantages over\npopular two-block methods such as Canonical Correlation Analysis and Partial\nLeast Squares. A JIVE analysis of gene expression and miRNA data on\nGlioblastoma Multiforme tumor samples reveals gene-miRNA associations and\nprovides better characterization of tumor types. Data and software are\navailable at https://genome.unc.edu/jive/","url_abs":"http://arxiv.org/abs/1102.4110v2","url_pdf":"http://arxiv.org/pdf/1102.4110v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"joint-and-individual-variation-explained-jive","repo_url":"https://github.com/justicesuker/DMMD_Code","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1102.4110","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}