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

• TF2TG: an online resource mining the potential gene targets of transcription factors in Drosophila.

  PMID 40314147 · PMC12774851 · Genetics · 2026 · 8 claims · 8 setups

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  TF2TG is an online resource integrating motif scan data, ChIP-seq peaks (modENCODE/modERN), Hi-C (TADs), REDfly-curated CRMs, ATAC-seq, protein-protein interaction data, and tissue-specific expression to predict TF-target gene relationships in Drosophila

  drosophila combined motif chip-seq whole-animal

• Atlas-guided discovery of transcription factors for T cell programming.

  PMID 41639465 · PMC13017511 · Nature · 2026 · 8 claims · 8 setups

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  A multi-omics atlas (Taiji pipeline) integrating RNA-seq and ATAC-seq across nine CD8+ T cell states can predict TF activity and identify state-selective versus multi-state TFs

  cd8+ lcmv p14 c57bl rna-seq pearson crispr

• 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

• Genetic architecture of natural variation of cardiac performance from flies to humans.

  PMID 36383075 · PMC9668334 · eLife · 2022 · 8 claims · 7 setups

  Has reproduction · 74

  Natural genetic variation significantly influences cardiac performance traits (rhythmicity and contractility) across 167 DGRP lines

  drosophila dgrp gene induced high-speed genome-wide epistasis

• 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

• Network inference and network response identification: moving genome-scale data to the next level of biological discovery.

  PMID 20174676 · PMC3087299 · Molecular bioSystems · 2010 · 8 claims · 8 setups

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  Cellular response to a signal is assumed to involve only specific TRN modules (conditionally active subnetworks) rather than the entire network, providing quantitative tractability

  yeast specified normal coli chip-on-chip chip-sequencing correlation-based

• Single-cell transcriptomics reveals keratinocyte dynamic processes associated with S100a4 expression in psoriasiform dermatitis.

  PMID 41660613 · PMC12876221 · Frontiers in immunology · 2025 · 7 claims · 8 setups

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  S100a4 knockout mice show significant pathological improvement in psoriasis-like lesions, including reduced inflammatory cell infiltration and decreased epidermal hyperplasia

  c57bl skin dorsal dcmo crispr western imiquimod-induced