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).

• EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.

  PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs

  dbps tfs common ctcf deep comparative feature-ablation

• maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

  PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups

  Has reproduction · 98

  maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors

  lines hepg2 types single chip-seq omni-atac-seq atac-seq

• High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sites.

  PMID 18988630 · PMC2662491 · Nucleic acids research · 2009 · 8 claims · 8 setups

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  Incorporating H3K4me3 chromatin modification estimates greatly improves the accuracy of in silico prediction of in vivo TF binding for a wide range of TFs in human and mouse

  embryonic neural t-cells mm8 chip-seq chip-chip pwm

• CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.

  PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation

  bulk previously round paired transfer-learning cross-species

• Targeted and personalized immunotherapy in lung adenocarcinoma: single-cell RNA sequencing of MAFF+ tumor cells and the therapeutic potential of FOS.

  PMID 40936936 · PMC12420628 · Frontiers in immunology · 2025 · 7 claims · 8 setups

  Has reproduction · 71

  A highly stem-like C0 MAFF+ tumor cell subtype dominates invasive LUAD, producing chemokines and activating lipid metabolism

  luad tumor a549 single-cell infercnv pseudotime