Publications
An unsupervised learning approach to identify novel signatures of health and disease from multimodal data
Shomorony I, Cirulli ET, Huang L, Napier LA, Heister RR, Hicks M, Cohen IV, Yu HC, Swisher CL, Schenker-Ahmed NM, Li W, Nelson KE, Brar P, Kahn AM, Spector TD, Caskey CT, Venter JC, Karow DS, Kirkness EF, Shah N
PMID: 31924279
Abstract
Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments. Integrated analysis of data from different modalities has the potential of uncovering novel biomarkers and disease signatures.