Biclustering reveals potential knee OA phenotypes in exploratory analyses: Data from the Osteoarthritis Initiative.

Biclustering reveals potential knee OA phenotypes in exploratory analyses: Data from the Osteoarthritis Initiative.

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<h4>Objective</h4>To apply biclustering, a methodology originally developed for analysis of gene expression data, to simultaneously cluster observations and clinical features to explore candidate phenotypes of knee osteoarthritis (KOA) for the first time.<h4>Methods</h4>Data...

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Bibliographic Details
Main Authors: Amanda E Nelson, Thomas H Keefe, Todd A Schwartz, Leigh F Callahan, Richard F Loeser, Yvonne M Golightly, Liubov Arbeeva, J S Marron
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0266964

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https://doi.org/10.1371/journal.pone.0266964

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