A flexible procedure for mixture proportion estimation in positive-unlabeled learning. - Zhenfeng Lin; James P. Long (Stat. Anal. Data Min., 2020)

Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. - Ehsan Irajizad; Ranran Wu; Jody V. Vykoukal; Eunice Murage; Rachelle Spencer; Jennifer B. Dennison; Stacy Moulder; Elizabeth Ravenberg; Bora Lim; Jennifer Litton; Debu Tripathy; Vicente Valero; et al. (Frontiers Artif. Intell., 2022)

Sample selection bias in evaluation of prediction performance of causal models. - James P. Long; Min Jin Ha (Stat. Anal. Data Min., 2022)

A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes. - Licai Huang; James P. Long; Ehsan Irajizad; James D. Doecke; Kim-Anh Do; Min Jin Ha (Bioinform., 2023)

Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge. - Chunhui Gu; Mohammad Sadegh Nasr 001; James P. Long; Kim-Anh Do; Ehsan Irajizad (CoRR, 2025)

Causal models and prediction in cell line perturbation experiments. - James P. Long; Yumeng Yang; Shohei Shimizu; Thong Pham; Kim-Anh Do (BMC Bioinform., 2025)