Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value.

  PMID 41731547 · PMC13037183 · BMC medicine · 2026 · 8 claims · 5 setups

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  Unsupervised ML analysis of ALS transcriptomes consistently identifies molecular subtypes reflecting distinct biological processes, primarily oxidative stress (ALS-Ox) and glial activation/neuroinflammation (ALS-Glia), found in every study reviewed.

  post-mortem peripheral bulk rna-seq blood