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).

• TDAGENE: Inference of Gene Regulatory Network Based on Topological Data Analysis and Graph Attention Network for Single-Cell RNA Sequencing Data.

  PMID 42093817 · PMC13139726 · Computational and structural biotechnology journal · 2026 · 7 claims · 5 setups

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  TDAGENE combines TDA features with a multilayer GAT via gate-controlled fusion to improve GRN inference accuracy

  scrna-seq gene string chip-seq grn persistent prior

• 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

• Allelic drop-out may occur with a primer binding site polymorphism for the commonly used RFLP assay for the -1131T>C polymorphism of the Apolipoprotein AV gene.

  PMID 16670016 · PMC1513378 · Lipids in health and disease · 2006 · 8 claims · 6 setups

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  A -987C>T polymorphism located 4bp from the 3' end of the MseI RFLP forward primer causes allelic drop-out, producing incorrect -1131T>C genotypes.

  asian random subjects unrelated arms-pcr msei sanger