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).

• DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

  PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups

  Has reproduction · 40

  DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.

  simulated real-world simulation scrna-seq-based

• BFAST: an alignment tool for large scale genome resequencing.

  PMID 19907642 · PMC2770639 · PloS one · 2009 · 7 claims · 4 setups

  Full-text index only

  BFAST is a new algorithm and freely available software tool for aligning large-scale short-read sequencing data to large reference genomes with user-customizable speed and accuracy

  reference genome simulated real-world k-mer

• ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries.

  PMID 41790830 · PMC12991369 · PLoS computational biology · 2026 · 8 claims · 3 setups

  Has reproduction · 83

  ConNIS provides an analytic solution for the probability of observing the longest insertion-free sequence within a gene given its length and number of insertion sites under non-essentiality.

  simulated four real simulation semi-synthetic real-world

• Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.

  PMID 39682743 · PMC11640164 · Cells · 2024 · 7 claims · 4 setups

  Has reproduction

  Immune-activation-related T-cell populations (APA, TRM, stem-like, early/late dysfunctional T-cells) are more heavily infiltrated in ICI-responsive malignancies (melanoma, bladder) than in poorly responsive ones (ovarian, pancreatic).

  melanoma bulk survival auroc

• 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