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).

• Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.

  PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups

  Has reproduction

  The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells

  ace2-transfected calu-3 luad ipsc-derived ipa sequencing convolutional

• Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.

  PMID 37995291 · PMC10697738 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 8 setups

  Has reproduction · 79

  CLSM6A is a set of CNN-based deep learning models that predict single-nucleotide-resolution m6A RNA modification sites across eight cell lines and three tissues in H. sapiens

  hct116 a549 brain hek293t miclip m6a-clip-seq m6a-seq

• BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization.

  PMID 41266599 · PMC12635123 · Communications biology · 2025 · 8 claims · 8 setups

  Has reproduction · 50

  BiRNA-BERT uses adaptive dual-tokenization that dynamically selects nucleotide-level (NUC) or byte-pair encoding (BPE) tokens based on input sequence length

  rfam plant lncrna-mirna sequences unsupervised mirna-lncrna length-binned

• A generic reference defined by consensus peaks for single-cell ATAC-seq data analysis.

  PMID 41663439 · PMC12996591 · Nature communications · 2026 · 7 claims · 7 setups

  Full-text index only

  Aggregating peaks from 624 high-quality bulk ATAC-seq datasets defines ~1.4 million observed consensus peaks (cPeaks) covering ~30% of the genome.

  bulk scatac-seq cnn gm12878 bulk scatac-seq deep