An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.
- DOI
- 10.1186/s13073-019-0705-z
- Published
- 2020 Jan 10
- Container
- Genome medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13073-019-0705-z,
title = {An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.},
author = {Shomorony I and Cirulli ET and Huang L and Napier LA and Heister RR and Hicks M and Cohen IV and Yu HC and Swisher CL and Schenker-Ahmed NM and Li W and Nelson KE and Brar P and Kahn AM and Spector TD and Caskey CT and Venter JC and Karow DS and Kirkness EF and Shah N},
year = {2020},
journal = {Genome medicine},
doi = {10.1186/s13073-019-0705-z},
url = {https://doi.org/10.1186/s13073-019-0705-z}
}RIS
TY - JOUR TI - An unsupervised learning approach to identify novel signatures of health and disease from multimodal data. AU - Shomorony I AU - Cirulli ET AU - Huang L AU - Napier LA AU - Heister RR AU - Hicks M AU - Cohen IV AU - Yu HC AU - Swisher CL AU - Schenker-Ahmed NM AU - Li W AU - Nelson KE AU - Brar P AU - Kahn AM AU - Spector TD AU - Caskey CT AU - Venter JC AU - Karow DS AU - Kirkness EF AU - Shah N PY - 2020 JO - Genome medicine DO - 10.1186/s13073-019-0705-z UR - https://doi.org/10.1186/s13073-019-0705-z ER -
APA
I, S., ET, C., L, H., LA, N., RR, H., M, H., IV, C., HC, Y., CL, S., NM, S., W, L., KE, N., P, B., AM, K., TD, S., CT, C., JC, V., DS, K., EF, K., & N, S. (2020). An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.. Genome medicine. https://doi.org/10.1186/s13073-019-0705-z
Source records
- pubmed · retrieved 2026-09-26T14:36:17.924Z