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).

• miRge 2.0 for comprehensive analysis of microRNA sequencing data.

  PMID 30153801 · PMC6112139 · BMC bioinformatics · 2018 · 8 claims · 6 setups

  Has reproduction · 89

  miRge 2.0 introduces a novel SVM-based miRNA detection method using both hairpin structure and isomiR composition, yielding higher specificity for miRNA identification

  pooled colon datasets small a-to-i novel

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups

  Has reproduction · 42

  CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.

  testing datasets tisch2 prostate scrna-seq simulated spatial

• GC-biased gene conversion conceals the prediction of the nearly neutral theory in avian genomes.

  PMID 30616647 · PMC6322265 · Genome biology · 2019 · 8 claims · 6 setups

  Has reproduction · 96

  gBGC conceals the correlation between life-history traits and dN/dS in birds; accounting for it reveals correlations consistent with nearly neutral theory

  avian comparative correlation robustness

• The use of edge-betweenness clustering to investigate biological function in protein interaction networks.

  PMID 15740614 · PMC555937 · BMC bioinformatics · 2005 · 8 claims · 7 setups

  Full-text index only

  Edge-Betweenness clustering separates protein interaction graphs into subgraphs whose GO term distributions show significant correlations, revealing biologically meaningful functional modules.

  interaction yeast edge-betweenness chi-squared robustness

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk