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).

• ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.

  PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups

  Has reproduction · 85

  scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.

  usoskin pollen zeisel yan scrna-seq umap masking

• Coiled-coil protein composition of 22 proteomes--differences and common themes in subcellular infrastructure and traffic control.

  PMID 16288662 · PMC1322226 · BMC evolutionary biology · 2005 · 7 claims · 5 setups

  Full-text index only

  Proteins with extended coiled-coil domains (>250 amino acids) are largely absent from bacterial genomes but present in archaea and eukaryotes.

  proteomes predicted long prokaryotic coiled-coil all-against-all sequence

• Expoldb: expression linked polymorphism database with inbuilt tools for analysis of expression and simple repeats.

  PMID 17038195 · PMC1618849 · BMC genomics · 2006 · 8 claims · 6 setups

  Full-text index only

  EXPOLDB is a novel database integrating human gene expression variability data (including monozygotic twin comparisons) with (TG/CA)n repeat polymorphism information

  blood genomic genes housekeeping microarray repeat est-based

• 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

• SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.

  PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups

  Has reproduction · 74

  SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.

  pairs nanostring st-sc osmfish_zeisel st-sc 5-fold spatially