Javier E. Flores

According to our database, Javier E. Flores authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Assessing current capabilities for incorporating lipidomics in multiomics data integration.

Dylan H. Ross, Raghav Jain, Hyeyoon Kim, Javier E. Flores, Soumaydeep Sarkar, Chaevien S. Clendinen, Jennifer E. Kyle, Tao Liu, Sara J. C. Gosline

Briefings Bioinform., 2026

2025

Which Way from B to A: The role of embedding geometry in image interpolation for Stable Diffusion.

Nicholas Karris, Luke Durell, Javier E. Flores, Tegan Emerson

CoRR, November, 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, July, 2025

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., June, 2025

2023

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., February, 2023