An unsupervised learning approach to identify novel signatures of health and disease from multimodal data

BACKGROUND: 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. METHODS: We collected 1385 data features f...

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Detalles Bibliográficos
Autores principales: Shomorony, Ilan, Cirulli, Elizabeth T., Huang, Lei, Napier, Lori A., Heister, Robyn R., Hicks, Michael, Cohen, Isaac V., Yu, Hung-Chun, Swisher, Christine Leon, Schenker-Ahmed, Natalie M., Li, Weizhong, Nelson, Karen E., Brar, Pamila, Kahn, Andrew M., Spector, Timothy D., Caskey, C. Thomas, Venter, J. Craig, Karow, David S., Kirkness, Ewen F., Shah, Naisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953286/
https://www.ncbi.nlm.nih.gov/pubmed/31924279
http://dx.doi.org/10.1186/s13073-019-0705-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953286/
https://www.ncbi.nlm.nih.gov/pubmed/31924279
http://dx.doi.org/10.1186/s13073-019-0705-z

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