HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity.

MLA

Butts, Jessica, et al. “HIP: A Method for High-Dimensional Multi-View Data Integration and Prediction Accounting for Subgroup Heterogeneity.” Briefings in Bioinformatics, vol. 25, no. 6, Sept. 2024. EBSCOhost, https://doi.org/10.1093/bib/bbae470.

APA

Butts, J., Verace, L., Wendt, C., Bowler, R. P., Hersh, C. P., Long, Q., Eberly, L., & Safo, S. E. (2024). HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity. Briefings in Bioinformatics, 25(6). https://doi.org/10.1093/bib/bbae470

Chicago

Butts, Jessica, Leif Verace, Christine Wendt, Russel P Bowler, Craig P Hersh, Qi Long, Lynn Eberly, and Sandra E Safo. 2024. “HIP: A Method for High-Dimensional Multi-View Data Integration and Prediction Accounting for Subgroup Heterogeneity.” Briefings in Bioinformatics 25 (6). doi:10.1093/bib/bbae470.