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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Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings.
PMID 41555918 · PMC12812404 · Frontiers in genetics · 2025 · 7 claims · 5 setups
LiVAE, a dual-pathway VAE with Lorentzian geometric regularization between a primary Euclidean pathway and an information-bottleneck pathway, balances local fidelity with global topology coherence in single-cell embeddings
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CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.
PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups
CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data
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ProtoCloud: A prototypical self-explaining model for single-cell analysis.
PMID 41997134 · PMC13261663 · Cell genomics · 2026 · 8 claims · 8 setups
ProtoCloud matches or outperforms existing annotation methods across 11 large-scale datasets, particularly for rare cell types
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Bayesian inference of RNA velocity incorporating timepoints, lineage bifurcations, and count data.
PMID 41860983 · PMC13021174 · PLoS computational biology · 2026 · 8 claims · 8 setups
VeloVAE significantly outperforms previous RNA velocity methods in data fit, accuracy of inferred differentiation directions, and transcription rate estimation.
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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