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).

• AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.

  PMID 41871930 · PMC13064981 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  AutoGERN explicitly models regulatory information in the message-passing space via learned link (edge) embeddings, which are scored by a lightweight MLP to infer TF–target interactions.

  seven same scrna-seq-based chip-seq cold-start

• Gene regulatory network determinants of rapid recall in human memory CD4(+) T cells.

  PMID 41865369 · PMC13207208 · Cell reports · 2026 · 8 claims · 6 setups

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  Memory CD4+ T cells show enhanced chromatin accessibility proximal to rapid-recall genes compared to naive cells

  blood-derived computational pseudobulk cd4+ single-nuclei maxatac grn

• GRNFormer: accurate gene regulatory network inference using graph transformer.

  PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information

  hematopoietic embryonic dendritic hepatocytes scrna-seq chip-seq string

• CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.

  PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation

  bulk previously round paired transfer-learning cross-species

• Interpretable learning of temporal cellular dynamics from single-cell data.

  PMID 41875867 · PMC13030976 · Cell reports methods · 2026 · 7 claims · 7 setups

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  NeuroVelo couples a linear latent phase-space projection with a non-linear neural ODE, using RNA velocity as a physics-informed loss penalty, to jointly model cellular dynamics and enable gene-level interpretability

  gastrulation bone pancreatic cancer scrna-seq chip-seq computational

• Spatial transcriptomics reveals the molecular signatures of prodromal and advanced α-synucleinopathy.

  PMID 41736854 · PMC12927100 · iScience · 2026 · 7 claims · 6 setups

  Has reproduction · 70

  Early-stage (prodromal) aSyn pathology in M83+/+ mouse brainstem is associated with upregulation of ATP/energy metabolism pathways (glycolysis, oxidative phosphorylation, fatty acid metabolism)

  sagittal st-derived spatial immunofluorescence cell-cell

• A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.

  PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups

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  Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification

  dorsal scrna-seq skin fibroblast scatac-seq scrna-seq spatial