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).

• SGCP: a spectral self-learning method for clustering genes in co-expression networks.

  PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups

  Has reproduction · 51

  SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.

  real microarray rna-seq same gene dna-microarray rna-sequencing

• MEDUSA: A Pipeline for Sensitive Taxonomic Classification and Flexible Functional Annotation of Metagenomic Shotgun Sequences.

  PMID 35330728 · PMC8940201 · Frontiers in genetics · 2022 · 6 claims · 6 setups

  Has reproduction · 50

  MEDUSA is an automated, Conda-installable and Snakemake-managed pipeline performing preprocessing, assembly, alignment, taxonomic classification, and functional annotation on shotgun data.

  bovine simulated cami trimming decontamination assembly

• Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

  PMID 35794110 · PMC9258765 · Nature communications · 2022 · 8 claims · 5 setups

  Has reproduction · 94

  Deep learning (FFNN-SS and CNN-CBLV) enables accurate and fast likelihood-free estimation of epidemiological parameters and model selection from phylogenies

  simulated same hiv-1 simulation-based bayesian maximum-likelihood

• A comparative study of techniques for differential expression analysis on RNA-Seq data.

  PMID 25119138 · PMC4132098 · PloS one · 2014 · 8 claims · 8 setups

  Has reproduction · 58

  edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives.

  brain neurospheres lymphoblastoid simulation single-end paired-end rna-seq