ArticlebioRxiv : the preprint server for biology2026
MilliMap: interactive closed-loop analysis for spatial omics.
Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
Abstract
Spatial omics analysis requires iterative interplay between statistical computation and tissue-context interpretation, yet current workflows fragment these steps across disconnected environments. We present MilliMap, an interactive framework that unifies statistical analysis with spatial exploration. By closing the analysis-visualization loop, MilliMap empowers biologists to steer parameters, refine ROIs, and validate findings within a single environment. We demonstrate its utility by delineating complex neuroanatomy and identifying niche-restricted functional states in tumor microenvironments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.