Missing data in multi-omics integration: Recent advances through artificial intelligence. - Javier E. Flores; Daniel Claborne; Zachary D. Weller; Bobbie-Jo M. Webb-Robertson; Katrina M. Waters; Lisa M. Bramer (Frontiers Artif. Intell., 2023)

A new class of information criteria for improved prediction in the presence of training/validation data heterogeneity. - Javier E. Flores; Joseph E. Cavanaugh; Andrew A. Neath (Comput. Stat., 2025)

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics. - Daniel Claborne; Javier E. Flores; Samantha Erwin; Luke Durell; Rachel Richardson; Ruby Fore; Lisa Bramer (CoRR, 2025)