Journal article
Journal of Clinical Oncology, vol. 42, 2024, pp. 10043-10043
Assistant Professor
APA
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Alter, O., Newman, E., Ponnapalli, S. P., & Tsai, J. W. (2024). AI/ML-derived mechanistically interpretable whole-genome biomarkers of patient survival in pre-treatment primary neuroblastoma tumors and whole blood. Journal of Clinical Oncology, 42, 10043–10043. https://doi.org/10.1200/JCO.2024.42.16\_suppl.10043
Chicago/Turabian
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Alter, Orly, Elizabeth Newman, Sri Priya Ponnapalli, and Jessica W. Tsai. “AI/ML-Derived Mechanistically Interpretable Whole-Genome Biomarkers of Patient Survival in Pre-Treatment Primary Neuroblastoma Tumors and Whole Blood.” Journal of Clinical Oncology 42 (2024): 10043–10043.
MLA
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Alter, Orly, et al. “AI/ML-Derived Mechanistically Interpretable Whole-Genome Biomarkers of Patient Survival in Pre-Treatment Primary Neuroblastoma Tumors and Whole Blood.” Journal of Clinical Oncology, vol. 42, 2024, pp. 10043–43, doi:10.1200/JCO.2024.42.16\_suppl.10043.
BibTeX Click to copy
@article{alter2024a,
title = {AI/ML-derived mechanistically interpretable whole-genome biomarkers of patient survival in pre-treatment primary neuroblastoma tumors and whole blood.},
year = {2024},
journal = {Journal of Clinical Oncology},
pages = {10043-10043},
volume = {42},
doi = {10.1200/JCO.2024.42.16\_suppl.10043},
author = {Alter, Orly and Newman, Elizabeth and Ponnapalli, Sri Priya and Tsai, Jessica W.}
}