Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement
Kimberly Showalter, Robert Spiera, Cynthia M. Magro, Phaedra Agius, Viktor Martyanov, Jennifer M. Franks, Roshan Sharma, Heather Geiger, Tammara Wood, Yaxia Zhang, Caryn Hale, Jackie Finik, Michael L. Whitfield, Dana E. Orange, Jessica Gordon
Topics & Concepts
MedicineGene expressionScleroderma (fungus)HistologyCD34PathologySystemic sclerodermaGene expression profilingFibroblastGeneStem cellBiologyIn vitroInoculationBiochemistryDermatomyositisGeneticsSystemic Sclerosis and Related DiseasesConnective Tissue Growth Factor ResearchLymphatic System and Diseases