1. Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement. Issue 2 (7th October 2020) Authors: Showalter, Kimberly; Spiera, Robert; Magro, Cynthia; Agius, Phaedra; Martyanov, Viktor; Franks, Jennifer M; Sharma, Roshan; Geiger, Heather; Wood, Tammara A; Zhang, Yaxia; Hale, Caryn R; Finik, Jackie; Whitfield, Michael L; Orange, Dana E; Gordon, Jessica K Journal: Annals of the rheumatic diseases Issue: Volume 80:Issue 2(2021) Page Start: 228 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data. Issue 5 (2nd April 2018) Authors: Orange, Dana E.; Agius, Phaedra; DiCarlo, Edward F.; Robine, Nicolas; Geiger, Heather; Szymonifka, Jackie; McNamara, Michael; Cummings, Ryan; Andersen, Kathleen M.; Mirza, Serene; Figgie, Mark; Ivashkiv, Lionel B.; Pernis, Alessandra B.; Jiang, Caroline S.; Frank, Mayu O.; Darnell, Robert B.; Lin... Journal: Arthritis & rheumatology Issue: Volume 70:Issue 5(2018) Page Start: 690 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗