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Gender trends in research output among matched dermatology residency applicants Zheng, David X.; Kalra, Mehak K.; Narang, Jatin; Eversman, Anna; Morgan, Frederick C.; Obi, Elizabeth E.; Osei-Koomson, Wilhemina; Russell, Emma R.; Wei, Angela H.; Levoska, Melissa A.; Scott, Jeffrey F.; Wong, Christina Share Save
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Deep phenotyping using principal component analysis effectively arrays XPD (ERCC2) xeroderma pigmentosum and trichothiodystrophy patient phenotypes: The XP-TTD coefficient Pugh, J. M.; Nelson, G. W.; Levoska, M. A.; Hanona, P. F.; Tamura, D.; Heller, E. R.; Khan, S. G.; Scheibye-Knudsen, M.; DiGiovanna, J. J.; Kraemer, K. H. Share Save
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Use of hierarchical clustering and principal component analysis for deep phenotyping of patients with mutations in XPD (ERCC2): trichothiodystrophy (TTD), xeroderma pigmentosum (XP) and XP/TTD Levoska, M.; Pugh, J.; Nelson, G.; Hanona, P.; Tamura, D.; Heller, E.; Khan, S. G.; Scheibye-Knudsen, M.; DiGiovanna, J. J.; Kraemer, K. H. Share Save