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).
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GRNFormer: accurate gene regulatory network inference using graph transformer.
PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
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
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Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet.
PMID 41786602 · PMC13138013 · Genome research · 2026 · 7 claims · 5 setups
NNet uses PCA embedding followed by local KNN regression in PC space to construct cell-specific coexpression networks (CSNs), improving computational efficiency and estimate stability versus pairwise approaches.
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Identification of Radiation-Induced Injury Pathways and Hub Genes from RNA-Seq Data Based on Integrative Bioinformatics Approach.
PMID 42074497 · PMC13116960 · Genes · 2026 · 8 claims · 6 setups
Ionizing radiation induces extensive transcriptome reprogramming in mouse bone marrow HSCs 3 days after whole-body irradiation.
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CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inference.
PMID 42059479 · PMC13130071 · Briefings in bioinformatics · 2026 · 7 claims · 5 setups
CaHoT-GRN integrates pretrained biological language model embeddings (DNABERT for DNA, ESM for protein) with scRNA-seq expression data to improve GRN inference