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 · 86
Screening of core genes prognostic for sepsis and construction of a ceRNA regulatory network.
PMID 36855106 · PMC9976425 · BMC medical genomics · 2023 · 8 claims · 7 setups
RNA-seq of peripheral blood from 23 sepsis patients and 10 healthy controls identifies 1,044 DEmRNAs, 66 DEmiRNAs and 155 DElncRNAs.
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Are gene expression microarray analyses reliable? A review of studies of retinoic acid responsive genes.
PMID 15626329 · PMC5171945 · Genomics, proteomics & bioinformatics · 2003 · 6 claims · 8 setups
Published microarray studies aiming to identify RA-responsive genes show substantial, often contradictory, differences in results across research groups.
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Full-text index only
Independent component analysis reveals new and biologically significant structures in micro array data.
PMID 16762055 · PMC1557674 · BMC bioinformatics · 2006 · 7 claims · 8 setups
ICA applied to three microarray datasets reveals many biologically significant components, including low-ranking ones not obvious by rank alone
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Has reproduction · 90
Systematic clustering algorithm for chromatin accessibility data and its application to hematopoietic cells.
PMID 33253153 · PMC7728210 · PLoS computational biology · 2020 · 7 claims · 5 setups
A systematic clustering algorithm for ATAC-seq data can be built by binarizing the genome into open/closed chromatin (1/0) strings and computing Hamming distances between samples for hierarchical clustering.
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In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.
PMID 17201911 · PMC1774567 · BMC genomics · 2007 · 8 claims · 5 setups
A computational EST-based pipeline can identify UTR-SNPs that are statistically over-represented in cancerous versus normal tissue libraries
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Has reproduction · 76
Correcting scale distortion in RNA sequencing data.
PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups
Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)