BioParity.UFO / UAP research

2 papers for “Reporting discrepancies”

Results

PaperS7550

Adjacent Cell Marker Lateral Spillover Compensation and Reinforcement for Multiplexed Images

Yunhao Bai, Bokai Zhu, Xavier Rovira-Clave, Han Chen, Maxim Markovic, Chi Ngai Chan, Tung-Hung Su, David R. McIlwain, Jacob D. Estes, Leeat Keren, Garry P. Nolan, Sizun Jiang. ebi.ac.uk. July 5, 2021.

REDSEA compensates signal leakage between adjacent segmented cells. Published tests compare correction choices against a fallible manual reference and reused imaging data. Retaining signal and removing ambiguous classifications involve tradeoffs; poor segmentation and several other contamination mechanisms remain unresolved. Source counts, caption panels, equation notation and channel lists conflict. Nolan’s declared instrument-company financial interest and funding disclaimer remain part of the evidence.

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PaperS7546

Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks

Ye Henry Li, Dangna Li, Nikolay Samusik, Xiaowei Wang, Leying Guan, Garry P. Nolan, Wing Hung Wong. ebi.ac.uk. December 27, 2017.

PAC-MAN combines adaptive partitioning and population-network matching to address shifts between cytometry samples. Tests use simulations and prior reference datasets. Validated panels, coherent samples and downstream validation are required. Benchmark ties and losses qualify broad superiority wording; internal clade labels and a thymus percentage conflict between prose and tables. Scientific funding and author credentials do not validate unrelated UAP claims.

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