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).

• PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.

  PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups

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  PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results

  simulated null pbmc pancreas pseudotime tvg false-positive

• The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins.

  PMID 16948836 · PMC1794545 · Genome biology · 2006 · 8 claims · 6 setups

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  Identified 1543 proteins in urine from ten healthy donors while essentially eliminating false-positive identifications

  urine pooled urinary identified sds-page albumin decoy

• Large-scale and high-confidence proteomic analysis of human seminal plasma.

  PMID 16709260 · PMC1779515 · Genome biology · 2006 · 8 claims · 6 setups

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  923 proteins were identified with high confidence in seminal plasma from a single individual, combining results from three ejaculate samples

  seminal same list combined sds-page database decoy

• Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.

  PMID 19761607 · PMC2759961 · BMC bioinformatics · 2009 · 8 claims · 5 setups

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  2LOmb performs an omnibus permutation test on ensembles of two-locus analyses via a four-step algorithm (two-locus analysis, permutation test, global p-value determination, progressive ensemble search)

  simulated same snp type two-locus 2lomb benchmark

• Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data.

  PMID 17910767 · PMC2148068 · BMC bioinformatics · 2007 · 8 claims · 4 setups

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  Different CNV analysis software packages produce highly variable numbers and types of candidate CNVs from the same data

  normalized individuals subset same affymetrix fluorescent snp

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold