A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients
- DOI
- 10.1182/bloodadvances.2018028316
- Published
- 2019-06-17
- Container
- Blood Advances
- Publisher
- American Society of Hematology
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1182/bloodadvances.2018028316,
title = {A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients},
author = {Leylah M. Drusbosky and Neeraj Kumar Singh and Kimberly E. Hawkins and Cesia Salan and Madeleine Turcotte and Elizabeth A. Wise and Amy Meacham and Vindhya Vijay and Glenda G. Anderson and Charlie C. Kim and Saumya Radhakrishnan and Yashaswini Ullal and Anay Talawdekar and Huzaifa Sikora and Prashant Nair and Arati Khanna-Gupta and Taher Abbasi and Shireen Vali and Subharup Guha and Nosha Farhadfar and Hemant S. Murthy and Biljana N. Horn and Helen L. Leather and Paul Castillo and Caitlin Tucker and Christina Cline and Leslie Pettiford and Jatinder K. Lamba and Jan S. Moreb and Randy A. Brown and Maxim Norkin and John W. Hiemenz and Jack W. Hsu and William B. Slayton and John R. Wingard and Christopher R. Cogle},
year = {2019},
journal = {Blood Advances},
doi = {10.1182/bloodadvances.2018028316},
url = {https://doi.org/10.1182/bloodadvances.2018028316}
}RIS
TY - JOUR TI - A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients AU - Leylah M. Drusbosky AU - Neeraj Kumar Singh AU - Kimberly E. Hawkins AU - Cesia Salan AU - Madeleine Turcotte AU - Elizabeth A. Wise AU - Amy Meacham AU - Vindhya Vijay AU - Glenda G. Anderson AU - Charlie C. Kim AU - Saumya Radhakrishnan AU - Yashaswini Ullal AU - Anay Talawdekar AU - Huzaifa Sikora AU - Prashant Nair AU - Arati Khanna-Gupta AU - Taher Abbasi AU - Shireen Vali AU - Subharup Guha AU - Nosha Farhadfar AU - Hemant S. Murthy AU - Biljana N. Horn AU - Helen L. Leather AU - Paul Castillo AU - Caitlin Tucker AU - Christina Cline AU - Leslie Pettiford AU - Jatinder K. Lamba AU - Jan S. Moreb AU - Randy A. Brown AU - Maxim Norkin AU - John W. Hiemenz AU - Jack W. Hsu AU - William B. Slayton AU - John R. Wingard AU - Christopher R. Cogle PY - 2019 JO - Blood Advances DO - 10.1182/bloodadvances.2018028316 UR - https://doi.org/10.1182/bloodadvances.2018028316 ER -
APA
Drusbosky, L. M., Singh, N. K., Hawkins, K. E., Salan, C., Turcotte, M., Wise, E. A., Meacham, A., Vijay, V., Anderson, G. G., Kim, C. C., Radhakrishnan, S., Ullal, Y., Talawdekar, A., Sikora, H., Nair, P., Khanna-Gupta, A., Abbasi, T., Vali, S., Guha, S., Farhadfar, N., Murthy, H. S., Horn, B. N., Leather, H. L., Castillo, P., Tucker, C., Cline, C., Pettiford, L., Lamba, J. K., Moreb, J. S., Brown, R. A., Norkin, M., Hiemenz, J. W., Hsu, J. W., Slayton, W. B., Wingard, J. R., & Cogle, C. R. (2019). A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients. Blood Advances. https://doi.org/10.1182/bloodadvances.2018028316
Source records
- crossref · retrieved 2026-09-26T05:47:15.434Z