 Cluster Analysis
"Cluster Analysis" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
| Descriptor ID |
D016000
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| MeSH Number(s) |
E05.318.740.250 N05.715.360.750.200 N06.850.520.830.250
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| Concept/Terms |
Cluster Analysis- Cluster Analysis
- Analyses, Cluster
- Analysis, Cluster
- Cluster Analyses
- Clustering
- Clusterings
Disease Clustering- Disease Clustering
- Clustering, Disease
- Clusterings, Disease
- Disease Clusterings
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Below are MeSH descriptors whose meaning is more general than "Cluster Analysis".
Below are MeSH descriptors whose meaning is more specific than "Cluster Analysis".
This graph shows the total number of publications written about "Cluster Analysis" by people in this website by year, and whether "Cluster Analysis" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2004 | 0 | 1 | 1 | | 2007 | 0 | 1 | 1 | | 2008 | 0 | 2 | 2 | | 2010 | 0 | 3 | 3 | | 2011 | 0 | 3 | 3 | | 2012 | 0 | 1 | 1 | | 2013 | 0 | 3 | 3 | | 2015 | 0 | 3 | 3 | | 2016 | 0 | 2 | 2 | | 2017 | 0 | 3 | 3 | | 2018 | 0 | 2 | 2 | | 2019 | 0 | 3 | 3 | | 2020 | 0 | 3 | 3 | | 2021 | 0 | 1 | 1 | | 2022 | 0 | 2 | 2 | | 2023 | 0 | 3 | 3 |
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Below are the most recent publications written about "Cluster Analysis" by people in Profiles.
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Chalise P, Kwon D, Fridley BL, Mo Q. Statistical Methods for Integrative Clustering of Multi-omics Data. Methods Mol Biol. 2023; 2629:73-93.
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Ospina O, Soupir A, Fridley BL. A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data. Methods Mol Biol. 2023; 2629:115-140.
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Fan S, Wilson CM, Fridley BL, Li Q. Statistics and Machine Learning in Mass Spectrometry-Based Metabolomics Analysis. Methods Mol Biol. 2023; 2629:247-269.
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Ospina OE, Wilson CM, Soupir AC, Berglund A, Smalley I, Tsai KY, Fridley BL. spatialGE: quantification and visualization of the tumor microenvironment heterogeneity using spatial transcriptomics. Bioinformatics. 2022 04 28; 38(9):2645-2647.
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Wilson C, Soupir AC, Thapa R, Creed J, Nguyen J, Segura CM, Gerke T, Schildkraut JM, Peres LC, Fridley BL. Tumor immune cell clustering and its association with survival in African American women with ovarian cancer. PLoS Comput Biol. 2022 03; 18(3):e1009900.
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Creed JH, Wilson CM, Soupir AC, Colin-Leitzinger CM, Kimmel GJ, Ospina OE, Chakiryan NH, Markowitz J, Peres LC, Coghill A, Fridley BL. spatialTIME and iTIME: R package and Shiny application for visualization and analysis of immunofluorescence data. Bioinformatics. 2021 12 07; 37(23):4584-4586.
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B?langer ?, Madore AM, Boucher-Lafleur AM, Simon MM, Kwan T, Pastinen T, Laprise C. Eosinophil microRNAs Play a Regulatory Role in Allergic Diseases Included in the Atopic March. Int J Mol Sci. 2020 Nov 27; 21(23).
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Chalise P, Ni Y, Fridley BL. Network-based integrative clustering of multiple types of genomic data using non-negative matrix factorization. Comput Biol Med. 2020 03; 118:103625.
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Li Q, Fisher K, Meng W, Fang B, Welsh E, Haura EB, Koomen JM, Eschrich SA, Fridley BL, Chen YA. GMSimpute: a generalized two-step Lasso approach to impute missing values in label-free mass spectrum analysis. Bioinformatics. 2020 01 01; 36(1):257-263.
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Plevinsky JM, Maddux MH, Greenley RN. Substance Use in Adolescents and Young Adults With Inflammatory Bowel Diseases: An Exploratory Cluster Analysis. J Pediatr Gastroenterol Nutr. 2019 09; 69(3):324-329.
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