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).

• scDBic: a novel deep learning-based biclustering algorithm for analyzing scRNA-seq data.

  PMID 41746287 · PMC13012890 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

  Full-text index only

  scDBic improves cell clustering by combining deep autoencoder-based cell clustering, gene clustering, and reverse-strategy identification of key gene clusters

  e-mtab-3321 e-mtab-2600 gse45719 gse52529 biclustering ablation

• MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction.

  PMID 41811907 · PMC12998955 · PLoS computational biology · 2026 · 8 claims · 7 setups

  Full-text index only

  MultiPert reliably predicts both perturbed gene expression and protein abundance profiles from single-cell multi-omics data

  thp-1 kidney gse156478 computational zinb-vae autoencoder eccite-seq