Below are the most recent publications written about "Cluster Analysis" by people in Profiles.
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Schlosser RJ, Dubno JR, Eckert MA, Benitez AM, Gregoski M, Ramakrishnan V, Matthews L, Soler ZM. Unsupervised Clustering of Olfactory Phenotypes. Am J Rhinol Allergy. 2022 Nov; 36(6):796-803.
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Nicholson C, Beattie L, Beattie M, Razzaghi T, Chen S. A machine learning and clustering-based approach for county-level COVID-19 analysis. PLoS One. 2022; 17(4):e0267558.
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Mayasari D, Murti YB, Pratiwi SUT, Sudarsono S, Hanna G, Hamann MT. TLC-Based Fingerprinting Analysis of the Geographical Variation of Melastoma malabathricum in Inland and Archipelago Regions: A Rapid and Easy-to-Use Tool for Field Metabolomics Studies. J Nat Prod. 2022 01 28; 85(1):292-300.
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Wu K, Chugh VK, D Krishna V, di Girolamo A, Wang YA, Saha R, Liang S, Cheeran MC, Wang JP. One-Step, Wash-free, Nanoparticle Clustering-Based Magnetic Particle Spectroscopy Bioassay Method for Detection of SARS-CoV-2 Spike and Nucleocapsid Proteins in the Liquid Phase. ACS Appl Mater Interfaces. 2021 Sep 22; 13(37):44136-44146.
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Kameneva P, Artemov AV, Kastriti ME, Faure L, Olsen TK, Otte J, Erickson A, Semsch B, Andersson ER, Ratz M, Frisén J, Tischler AS, de Krijger RR, Bouderlique T, Akkuratova N, Vorontsova M, Gusev O, Fried K, Sundström E, Mei S, Kogner P, Baryawno N, Kharchenko PV, Adameyko I. Single-cell transcriptomics of human embryos identifies multiple sympathoblast lineages with potential implications for neuroblastoma origin. Nat Genet. 2021 05; 53(5):694-706.
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Lam KF, Lee CY, Wong KY, Bandyopadhyay D. Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models. Stat Med. 2021 05 10; 40(10):2400-2412.
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Soler ZM, Schlosser RJ, Bodner TE, Alt JA, Ramakrishnan VR, Mattos JL, Mulligan JK, Mace JC, Smith TL. Endotyping chronic rhinosinusitis based on olfactory cleft mucus biomarkers. J Allergy Clin Immunol. 2021 05; 147(5):1732-1741.e1.
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Yang X, Zhang J, Chen S, Weissman S, Olatosi B, Li X. Comorbidity patterns among people living with HIV: a hierarchical clustering approach through integrated electronic health records data in South Carolina. AIDS Care. 2021 05; 33(5):594-606.
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Ge W, Jing J, An S, Herlopian A, Ng M, Struck AF, Appavu B, Johnson EL, Osman G, Haider HA, Karakis I, Kim JA, Halford JJ, Dhakar MB, Sarkis RA, Swisher CB, Schmitt S, Lee JW, Tabaeizadeh M, Rodriguez A, Gaspard N, Gilmore E, Herman ST, Kaplan PW, Pathmanathan J, Hong S, Rosenthal ES, Zafar S, Sun J, Brandon Westover M. Deep active learning for Interictal Ictal Injury Continuum EEG patterns. J Neurosci Methods. 2021 03 01; 351:108966.
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DeSantis SM, Li R, Zhang Y, Wang X, Vernon SW, Tilley BC, Koch G. Intent-to-treat analysis of cluster randomized trials when clusters report unidentifiable outcome proportions. Clin Trials. 2020 12; 17(6):627-636.