James P. Long

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Sample Selection Bias

Positive And Unlabeled Examples

Directed Acyclic Graph

Top Venues

Stat. Anal. Data Min.

Frontiers Artif. Intell.

Publications

Licai Huang, James P. Long, Ehsan Irajizad, James D. Doecke, Kim-Anh Do, Min Jin Ha
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes. Bioinform. 39 (1) (2023)
James P. Long, Min Jin Ha
Sample selection bias in evaluation of prediction performance of causal models. Stat. Anal. Data Min. 15 (1) (2022)
Ehsan Irajizad, Ranran Wu, Jody V. Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B. Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathym, Vicente Valero, Senthil Damodaran, Gaiane M. Rauch, Beatriz E. Adrada, Rosalind Candelaria, Jason B. White, Abenaa Brewster, Banu Arun, James P. Long, Kim-Anh Do, Sam Hanash, Johannes F. Fahrmann
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Frontiers Artif. Intell. 5 (2022)
James P. Long, Min Jin Ha
Sample Selection Bias in Evaluation of Prediction Performance of Causal Models. CoRR (2021)
Zhenfeng Lin, James P. Long
A flexible procedure for mixture proportion estimation in positive-unlabeled learning. Stat. Anal. Data Min. 13 (2) (2020)