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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iAODE for benchmarking and continuum modeling of single-cell chromatin accessibility.
PMID 41775921 · PMC13066597 · Communications biology · 2026 · 8 claims · 5 setups
iAODE combines a ZINB-likelihood VAE, a latent Neural ODE, low-weight KL regularization, and an interpretable reconstruction (irecon) bottleneck to learn generative, temporally continuous latent spaces for scATAC-seq.
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Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.
PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility
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Prior-guided factorization for reliable imputation of scRNA-seq data.
PMID 41860953 · PMC13004523 · PLoS computational biology · 2026 · 8 claims · 8 setups
scZN models scRNA-seq counts as a mixture of a two-state (Gamma-Poisson/negative binomial) transcriptional bursting process and dropout, formalized via a zero-inflated negative binomial (ZINB) and solved as constrained nonnegative matrix factorization into a cell-to-cell-type assignment matrix and a cell-type expression matrix
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FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.
PMID 41551930 · PMC12805895 · NAR genomics and bioinformatics · 2026 · 7 claims · 8 setups
FLYNC, an explainable boosting machine (EBM) model, accurately predicts the probability that a newly identified RNA transcript in D. melanogaster is a lncRNA
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SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning.
PMID 41975540 · PMC13185361 · Genome medicine · 2026 · 8 claims · 8 setups
SpaPheno integrates spatial transcriptomics with clinically annotated bulk RNA-seq to identify spatially resolved biomarkers predictive of patient outcomes including survival, tumor stage, and immunotherapy response