APA (7th ed.) Citation

S, F., Z, N., R, A., LL, C., SG, M., & S, S. (2024). Integrating HRMAS-NMR Data and Machine Learning-Assisted Profiling of Metabolite Fluxes to Classify Low- and High-Grade Gliomas. Interdisciplinary sciences, computational life sciences, 16(4), 854. https://doi.org/10.1007/s12539-024-00642-x

Chicago Style (17th ed.) Citation

S, Firdous, Nawaz Z, Abid R, Cheng LL, Musharraf SG, and Sadaf S. "Integrating HRMAS-NMR Data and Machine Learning-Assisted Profiling of Metabolite Fluxes to Classify Low- and High-Grade Gliomas." Interdisciplinary Sciences, Computational Life Sciences 16, no. 4 (2024): 854. https://doi.org/10.1007/s12539-024-00642-x.

MLA (9th ed.) Citation

S, Firdous, et al. "Integrating HRMAS-NMR Data and Machine Learning-Assisted Profiling of Metabolite Fluxes to Classify Low- and High-Grade Gliomas." Interdisciplinary Sciences, Computational Life Sciences, vol. 16, no. 4, 2024, p. 854, https://doi.org/10.1007/s12539-024-00642-x.