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).

• Predicting the effect of CRISPR-Cas9-based epigenome editing.

  PMID 41524535 · PMC12795505 · eLife · 2026 · 8 claims · 6 setups

  Full-text index only

  Machine learning (CNN and ridge regression) models trained on histone PTM ChIP-seq and RNA-seq data from 13 ENCODE cell types accurately predict endogenous gene expression, with transcriptome-wide correlations of ~0.70-0.79 for most cell types

  hek293t k562 computational chip-seq rna-seq mnase-seq

• 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