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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Visualization-based discovery and analysis of genomic aberrations in microarray data.
PMID 15953389 · PMC1181623 · BMC bioinformatics · 2005 · 8 claims · 7 setups
ChARMView integrates dynamic visualization with automated statistical analysis (EM-based breakpoint detection, one-sample sign test, permutation mean test) to discover chromosomal aberrations from array CGH and gene expression data
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DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.
PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups
DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets
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S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
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Has reproduction · 76
Transcriptional landscape of repetitive elements in normal and cancer human cells.
PMID 25012247 · PMC4122776 · BMC genomics · 2014 · 8 claims · 8 setups
RepEnrich, a computational method that uses all mapping reads (uniquely mapping plus multi-mapping reads assigned to repetitive element subfamily assemblies/pseudogenomes), quantifies genome-wide repetitive element enrichment