BioParity.UFO / UAP research

3 papers for “Spatial data analysis”

Results

PaperS7695

Quantitative characterization of tissue states using multiomics and ecological spatial analysis

Daisy Yi Ding, Zeyu Tang, Bokai Zhu, Hongyu Ren, Alex K. Shalek, Robert Tibshirani, Garry P. Nolan. pmc.ncbi.nlm.nih.gov. April 1, 2025.

This computational study reanalyses existing tissue datasets to describe spatial cell diversity and infer molecular relationships. Its liver comparison has one tissue per condition, subdivided into ten regions; these are not ten patients. Colorectal-cancer survival models use internal validation. Nolan is explicitly acknowledged for NIH support and two FDA Medical Countermeasures Initiative contracts. Those public acknowledgements establish reported research support, without verifying contract scope or a classified UAP approach.

Complete specialist supplied XML text; native apparatus unreviewed
PaperS7526

Graph Fourier transform for spatial omics representation and analyses of complex organs

Yuzhou Chang, Jixin Liu, Yi Jiang, Anjun Ma, Yao Yu Yeo, Qi Guo, Megan McNutt, Jordan E Krull, Scott J Rodig, Dan H Barouch, Garry P Nolan, Dong Xu, Sizun Jiang, Zihai Li, Bingqiang Liu, Qin Ma. ebi.ac.uk. August 29, 2024.

SpaGFT represents spatial data using graph topology and low-frequency assumptions. Benchmarks vary by dataset, and some methods perform better in particular examples. Selected marker references, repeated tissue regions and alternate analysis methods do not independently establish biological causation or patient replication.

Main text and selected supporting materials read
PaperS7568

SPACEc: a streamlined, interactive Python workflow for multiplexed image processing and analysis

Yuqi Tan, Tim N Kempchen, Martin Becker, Maximilian Haist, Dorien Feyaerts, Jiaqi Liu, Marieta Toma, Yang Xiao, Graham Su, Andrew J Rech, Michael Hölzel, Rong Fan, John W Hickey, Garry P Nolan. ebi.ac.uk. November 27, 2025.

SPACEc combines spatial proteomics processing, cell annotation and neighbourhood analysis. Nolan is credited with supervision. The supplied article, static supplement and reporting form were reviewed; peer-review correspondence is partly read. Reused tissues, expert labels and nested cell counts limit independent replication. Computational comparisons depend on dataset, platform, normalization and metric definitions; funding does not establish a UAP programme.

Complete supplied main and static supplement text read; peer review partial

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