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).
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Has reproduction · 98
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
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
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Has reproduction
Comprehensive enhancer-target gene assignments improve gene set level interpretation of genome-wide regulatory data.
PMID 35473573 · PMC9044877 · Genome biology · 2022 · 8 claims · 8 setups
Combining multiple enhancer-definition and enhancer-gene link data sources yields 1860 genome-wide EnTDefs covering >500 cell types
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Has reproduction · 83
Gene Expression Atlas update--a value-added database of microarray and sequencing-based functional genomics experiments.
PMID 22064864 · PMC3245177 · Nucleic acids research · 2012 · 8 claims · 5 setups
Gene Expression Atlas is an added-value database providing curated, re-annotated and statistically analysed gene expression data across cell types, organism parts, developmental stages, disease states and other biological/experimental conditions, derived from ArrayExpress Archive and the European Nucleotide Archive.
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Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks.
PMID 19638617 · PMC2889494 · Science signaling · 2009 · 8 claims · 6 setups
Pathway reconstruction can be modeled as a prize-collecting Steiner tree problem, balancing penalties for excluding terminal nodes against costs for including edges, controlled by a parameter β.
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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
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
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PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.
PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups
PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.