Quantum mechanics-based multitensor AI/ML uniquely able to discover, validate, and interpret predictors from small-cohort noisy high-dimensional multiomic data

Journal article

Orly Alter, Elizabeth Newman, Sri Priya Ponnapalli, Jessica W. Tsai
APL Quantum, vol. 3, 2026 Jun, p. 026116

DOI: 10.1063/5.0305656

Cite

APA Click to copy
Alter, O., Newman, E., Ponnapalli, S. P., & Tsai, J. W. (2026). Quantum mechanics-based multitensor {AI}/{ML} uniquely able to discover, validate, and interpret predictors from small-cohort noisy high-dimensional multiomic data. APL Quantum, 3, 026116. https://doi.org/10.1063/5.0305656

Chicago/Turabian Click to copy
Alter, Orly, Elizabeth Newman, Sri Priya Ponnapalli, and Jessica W. Tsai. “Quantum Mechanics-Based Multitensor {AI}/{ML} Uniquely Able to Discover, Validate, and Interpret Predictors from Small-Cohort Noisy High-Dimensional Multiomic Data.” APL Quantum 3 (June 2026): 026116.

MLA Click to copy
Alter, Orly, et al. “Quantum Mechanics-Based Multitensor {AI}/{ML} Uniquely Able to Discover, Validate, and Interpret Predictors from Small-Cohort Noisy High-Dimensional Multiomic Data.” APL Quantum, vol. 3, June 2026, p. 026116, doi:10.1063/5.0305656.

BibTeX Click to copy

@article{alter2026a,
  title = {Quantum mechanics-based multitensor {AI}/{ML} uniquely able to discover, validate, and interpret predictors from small-cohort noisy high-dimensional multiomic data},
  year = {2026},
  month = jun,
  journal = {APL Quantum},
  pages = {026116},
  volume = {3},
  doi = {10.1063/5.0305656},
  author = {Alter, Orly and Newman, Elizabeth and Ponnapalli, Sri Priya and Tsai, Jessica W.},
  month_numeric = {6}
}