Results

PaperS7500

Single-cell mass cytometry reveals distinct populations of brain myeloid cells in mouse neuroinflammation and neurodegeneration models

Bahareh Ajami, Nikolay Samusik, Peter Wieghofer, Peggy P. Ho, Andrea Crotti, Zach Bjornson, Marco Prinz, Wendy J. Fantl, Garry P. Nolan, Lawrence Steinman. med.stanford.edu. March 5, 2018.

Ajami, Nolan and colleagues analyse brain myeloid populations in mouse disease models. Mouse treatment findings do not establish human therapy or UAP-related illness. Pooling, statistical assumptions and inconsistencies constrain interpretation.

Paper, methods, figures and checklist read
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.

Supplied article text and selected apparatus read

A curated public selection. Source review describes what was read; it does not establish that a claim is true. Our research approach