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

• Determining the quality and complexity of next-generation sequencing data without a reference genome.

  PMID 25514851 · PMC4298064 · Genome biology · 2014 · 8 claims · 8 setups

  Has reproduction · 78

  kPAL, an open-source alignment-free package, assesses sequencing data quality and complexity using k-mer frequency profiles and pairwise distances between them, without a reference sequence.

  rna-seq genome wgs exome k-mer rna-seq read

• Genome-wide identification of conserved and novel microRNAs in one bud and two tender leaves of tea plant (Camellia sinensis) by small RNA sequencing, microarray-based hybridization and genome survey scaffold sequences.

  PMID 29157210 · PMC5697157 · BMC plant biology · 2017 · 8 claims · 8 setups

  Has reproduction · 91

  175 conserved miRNAs (39 families) and 83 novel miRNAs were identified in C. sinensis one bud and two tender leaves using small RNA sequencing combined with genome survey scaffold data

  one sinensis small-molecular-weight leaves small genome mirna

• A global database for modeling tumor-immune cell communication.

  PMID 37438390 · PMC10338499 · Scientific data · 2023 · 7 claims · 6 setups

  Has reproduction · 66

  TICCom integrates 739 experimentally-validated or manually-curated TIC interactions collected from more than 3,000 literatures

  pubmed scrna-seq tcga basal manual scrna-seq bulk

• 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

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  CaHoT-GRN integrates pretrained biological language model embeddings (DNABERT for DNA, ESM for protein) with scRNA-seq expression data to improve GRN inference

  embryonic gene dataset-specific same scrna-seq-based sequence protein-protein