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posted on 2022-05-24, 17:24 authored by Amanda E. Nelson, Thomas H. Keefe, Todd A. Schwartz, Leigh F. Callahan, Richard F. Loeser, Yvonne M. Golightly, Liubov Arbeeva, J. S. Marron

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Biclustering reveals potential knee OA phenotypes in exploratory analyses: Data from the Osteoarthritis Initiative
PLOS ONEPLOS ONE

Categories

  • Biophysics
  • Genetics
  • Pharmacology
  • Biotechnology
  • Ecology

Keywords

worsening western ontariosimultaneously cluster observationsnovel sigclust proceduremethodology originally developedmay suggest subgroupsjoint space widthexplore candidate phenotypesdifferent feature profilestotal knee arthroplastykey outcome measuresgene expression databiclustering produced submatricespoorer (# 4overall data matrixleaving 6461 kneesbaseline osteoarthritis initiativexlink "> databaseline oai datasetwomac pain scores86 features ).xlink ">knee osteoarthritiswhite ).overall cohortkey outcomesclinical featuresapply biclusteringstatistical validationprognosis comparedparticularly relatedlesser riskless incidentlawrence gradelarger cohortexploratory analysesdetermined using96 months6 ),3330 individuals

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CC BY 4.0CC BY 4.0

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