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).

• Severe COVID-19 Shares a Common Neutrophil Activation Signature with Other Acute Inflammatory States.

  PMID 35269470 · PMC8909161 · Cells · 2022 · 7 claims · 7 setups

  Has reproduction · 88

  COVID-19 and HLH share immunological pathways, yielding 237 common up-regulated DEGs dominated by cytokine/chemokine signaling and neutrophil-mediated immune responses.

  peripheral leukocytes plasma degs bulk single-cell plasma

• COVID-19 lung disease shares driver AT2 cytopathic features with Idiopathic pulmonary fibrosis.

  PMID 35870428 · PMC9297827 · EBioMedicine · 2022 · 8 claims · 8 setups

  Has reproduction · 85

  COVID-19 lung disease resembles IPF at a fundamental level, recapitulating ViP/IPF gene expression patterns, an IL15-centric cytokine storm, and AT2 cytopathic changes (injury, DNA damage, transient progenitor-state arrest, senescence/SASP).

  lung covid-19 interaction pre-clinical composite single-cell kaplan-meier

• Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.

  PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups

  Has reproduction · 44

  DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection

  nasopharyngeal same dygaf-ranked bulk differential random

• Cell-type annotation with accurate unseen cell-type identification using multiple references.

  PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups

  Has reproduction · 68

  mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy

  pbmc pancreas covid-19 scrna-seq

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.

  PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups

  Has reproduction · 81

  SEMdag() is a two-step order-based algorithm for fast learning of high-dimensional linear SEMs, using knowledge-based (KB) or data-driven bottom-up (BU) node/layer ordering followed by penalized (L1) DAG estimation

  amyotrophic breast coronavirus st-elevation rna-seq comparative