APA (7th ed.) Citation

T, L., B, L., Y, L., L, G., & J, L. (2026). Identification and validation of an intratumor heterogeneity-related prognostic signature in triple-negative breast cancer: A study based on integrative machine learning and single-cell sequencing. Breast cancer research : BCR, 28(1), . https://doi.org/10.1186/s13058-026-02291-y

Chicago Style (17th ed.) Citation

T, Li, Lian B, Liu Y, Guo L, and Li J. "Identification and Validation of an Intratumor Heterogeneity-related Prognostic Signature in Triple-negative Breast Cancer: A Study Based on Integrative Machine Learning and Single-cell Sequencing." Breast Cancer Research : BCR 28, no. 1 (2026). https://doi.org/10.1186/s13058-026-02291-y.

MLA (9th ed.) Citation

T, Li, et al. "Identification and Validation of an Intratumor Heterogeneity-related Prognostic Signature in Triple-negative Breast Cancer: A Study Based on Integrative Machine Learning and Single-cell Sequencing." Breast Cancer Research : BCR, vol. 28, no. 1, 2026, https://doi.org/10.1186/s13058-026-02291-y.