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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Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.
PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups
DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics
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metaFun: An analysis pipeline for metagenomic big data with fast and unified functional searches.
PMID 41530917 · PMC12818822 · Gut microbes · 2026 · 8 claims · 8 setups
metaFun is an open-source, end-to-end Nextflow/Apptainer pipeline integrating quality control, taxonomic profiling, functional profiling, de novo assembly, binning, genome assessment, comparative genomics, network analysis, and strain-level microdiversity analysis into a unified framework
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PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.
PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups
PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results
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A statistical approach for array CGH data analysis.
PMID 15705208 · PMC549559 · BMC bioinformatics · 2005 · 8 claims · 4 setups
Existing model-selection criteria (AIC, BIC, and prior ad hoc penalties) are not well adapted to estimating the number of segments in array CGH data
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High resolution array-CGH analysis of single cells.
PMID 17178751 · PMC1807964 · Nucleic acids research · 2007 · 7 claims · 7 setups
Single copy number changes as small as 8.3 Mb can be detected reliably in single cells using GenomePlex WGA combined with high-resolution tiling-path array-CGH.
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HRCHY-CytoCommunity identifies hierarchical tissue organization in cell-type spatial maps.
PMID 41764165 · PMC13065825 · Nature communications · 2026 · 8 claims · 5 setups
HRCHY-CytoCommunity is an end-to-end graph neural network framework that jointly identifies multi-level (coarse tissue compartment and fine cellular neighborhood) tissue structures from cell-type spatial maps using differentiable graph pooling, adaptive edge pruning, and consistency/balance regularization.