SHAPPEing agent-based models to spatial data: Sequential Hooke's law Algorithm for Point Pattern reconstruction with Environmental constraints

Preprint (not peer-reviewed): Mongeon and Craig (Université de Montréal) present SHAPPE, a multitype point-pattern reconstruction algorithm that generates synthetic spatial configurations of arbitrary size from small imaging regions, used to initialise agent-based models. On 87 glioblastoma imaging mass cytometry samples, the authors report that SHAPPE reduced dissimilarity in density distributions by a median of 53% and inter-cell-type exposure errors by 34% relative to a random baseline. Initialising a glioblastoma ABM with SHAPPE instead of random placement reduced tumour–CD8+ T cell interaction frequency and lowered the average number of tumour cells killed by CD8+ T cells over 50 simulated days by over 20%.

Authors / organisation

Mongeon B, Craig M.

Venue

bioRxiv (preprint, not peer-reviewed)

Date

2026-10-16

Type

preprint

Year

2026

DOI

10.64898/2026.10.14.759208

Verification

bioRxiv API details (title, 2 authors, posted 2026-10-16, v1, new results, systems biology, CC BY-NC, Université de Montréal, abstract) fetched 2026-10-20; full text not read

GBMSimulationSpatial omicsImmuneMechanistic & agent-based model

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