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).

• Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.

  PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups

  Full-text index only

  Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile

  gm12878 curated bulk training hi-c ctcf matched

• PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines.

  PMID 34093998 · PMC8142020 · Computational and structural biotechnology journal · 2021 · 6 claims · 8 setups

  Has reproduction · 77

  PredTAD, a Gradient Boosting Machine model using epigenomic and genomic ChIP-seq-derived features plus neighboring-bin information, classifies 10 kb genomic bins as TAD boundary or non-boundary

  mcf10a t47d mcf7 tcga hi-c chip-seq atac-seq