EDBT 2026 Demo / reviewers in the wild / expert
Tamara Lopez-Vidal
dblp:425/7772
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › omics data analysis
spatial omics |
0.9 | 1 | 2025 | BIWT: a bioinformatics walkthrough for embedding spatial multiomics in agent-based models for virtual cells · Bioinform. 2025 |
Bioinformatics and computational biology › cancer biology
cancer immunology |
0.3 | 1 | 2025 | BIWT: a bioinformatics walkthrough for embedding spatial multiomics in agent-based models for virtual cells · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
single-cell data integration · 0.9agent-based simulation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | BIWT: a bioinformatics walkthrough for embedding spatial multiomics in agent-based models for virtual cellsabstractSUMMARY: Whereas transcriptomic and spatial profiling offer static snapshots of tissue structure, mechanistic models use biological rules to predict how tissues evolve. We present the BioInformatics WalkThrough (BIWT) software to directly initialize spatial agent-based models from single-cell and spatial molecular data. We demonstrate how initialization strategies affect tumor-immune dynamics and spatial clustering, positioning BIWT as a software suite to generate data-driven virtual cells representing both experimental and clinical contexts. AVAILABILITY AND IMPLEMENTATION: The BIWT software is available at https://github.com/PhysiCell-Tools/PhysiCell-Studio. The sample dataset for running the BIWT is available at https://zenodo.org/records/16365625. The code and instructions for reproducing the use case example is available at https://github.com/drbergman/BIWT-Paper. Daniel R. Bergman, Jeanette A. I. Johnson, Marwa Naji, Max Booth, Heber L. Rocha, Atul Deshpande, Dimitrios N. Sidiropoulos, Tamara Lopez-Vidal, Randy W. Heiland, Luciane T. Kagohara, Robert A. Anders, Elizabeth M. Jaffee, Genevieve L. Stein-O'Brien, Paul Macklin, Elana J. Fertig |
Bioinform. | 8 |