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High-dimensionality reduction clustering of complex carbohydrates to study lung cancer metabolic heterogeneity.

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Bibliographic Details
Title: High-dimensionality reduction clustering of complex carbohydrates to study lung cancer metabolic heterogeneity.
Authors: Conroy LR; Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, United States; Markey Cancer Center, Lexington, KY, United States., Chang JE; Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, United States., Sun Q; Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, United States; Department of Computer Science, University of Kentucky College of Medicine, Lexington, KY, United States., Clarke HA; Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, United States., Buoncristiani MD; Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, United States., Young LEA; Department of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY, United States., McDonald RJ; Department of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY, United States., Liu J; Department of Biostatistics, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States., Gentry MS; Markey Cancer Center, Lexington, KY, United States; Department of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY, United States., Allison DB; Markey Cancer Center, Lexington, KY, United States; Department of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY, United States. Electronic address: derek.allison@uky.edu., Sun RC; Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, United States; Markey Cancer Center, Lexington, KY, United States. Electronic address: ramon.sun@uky.edu.
Source: Advances in cancer research [Adv Cancer Res] 2022; Vol. 154, pp. 227-251. Date of Electronic Publication: 2022 Mar 18.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0370416 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2162-5557 (Electronic) Linking ISSN: 0065230X NLM ISO Abbreviation: Adv Cancer Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2162-5557
DOI:10.1016/bs.acr.2022.02.005