Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence
Publication
, Journal Article
Nazha, A; Sekeres, MA; Bejar, R; Rauh, MJ; Othus, M; Komrokji, RS; Barnard, J; Hilton, CB; Kerr, CM; Steensma, DP; DeZern, A; Roboz, G ...
Published in: JCO PRECISION ONCOLOGY
2019
Duke Scholars
Published In
JCO PRECISION ONCOLOGY
DOI
EISSN
2473-4284
Publication Date
2019
Volume
3
Related Subject Headings
- 3211 Oncology and carcinogenesis
Citation
APA
Chicago
ICMJE
MLA
NLM
Nazha, A., Sekeres, M. A., Bejar, R., Rauh, M. J., Othus, M., Komrokji, R. S., … Maciejewski, J. P. (2019). Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence. JCO PRECISION ONCOLOGY, 3. https://doi.org/10.1200/P0.19.00119
Nazha, Aziz, Mikkael A. Sekeres, Rafael Bejar, Michael J. Rauh, Megan Othus, Rami S. Komrokji, John Barnard, et al. “Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence.” JCO PRECISION ONCOLOGY 3 (2019). https://doi.org/10.1200/P0.19.00119.
Nazha A, Sekeres MA, Bejar R, Rauh MJ, Othus M, Komrokji RS, et al. Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence. JCO PRECISION ONCOLOGY. 2019;3.
Nazha, Aziz, et al. “Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence.” JCO PRECISION ONCOLOGY, vol. 3, 2019. Wos-lite, doi:10.1200/P0.19.00119.
Nazha A, Sekeres MA, Bejar R, Rauh MJ, Othus M, Komrokji RS, Barnard J, Hilton CB, Kerr CM, Steensma DP, DeZern A, Roboz G, Garcia-Manero G, Erba H, Ebert BL, Maciejewski JP. Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence. JCO PRECISION ONCOLOGY. 2019;3.
Published In
JCO PRECISION ONCOLOGY
DOI
EISSN
2473-4284
Publication Date
2019
Volume
3
Related Subject Headings
- 3211 Oncology and carcinogenesis