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).
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Integrating and mapping single-cell transcriptomics across the entire gene expression space.
PMID 42059480 · PMC13130072 · Briefings in bioinformatics · 2026 · 8 claims · 1 setups
scGES is a deep learning framework that corrects batch effects across the entire gene expression space by leveraging information from both HVGs and LVGs
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scCNMF: an integrated analysis model for paired single-cell RNA sequencing and assay for transposase-accessible chromatin sequencing data leveraging cell similarity and cis-regulatory potential.
PMID 41800139 · PMC12962131 · PeerJ · 2026 · 7 claims · 2 setups
scCNMF is an NMF-based model for vertical integration of paired scRNA-seq and scATAC-seq data that jointly incorporates a cell similarity matrix and a cis-regulatory potential (CRP) matrix
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SMART: spatial multi-omic aggregation using graph neural networks and metric learning.
PMID 41896208 · PMC13031631 · Nature communications · 2026 · 8 claims · 5 setups
SMART accurately identifies spatial regions of anatomical structures and is compatible with spatial datasets of any type and number of omics layers
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Integrative Learning of Disentangled Representations from Single-Cell RNA-Sequencing Datasets.
PMID 41971949 · PMC13068006 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups
spVIPES decomposes unpaired scRNA-seq datasets with nonmatching features into shared and private latent representations using a Product of Experts framework