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).
-
Full-text index only
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
-
Full-text index only
Benchmarking LLM-based agents for single-cell omics analysis.
PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups
Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks
-
Full-text index only
Ensembl 2006.
PMID 16381931 · PMC1347495 · Nucleic acids research · 2006 · 8 claims · 5 setups
Ensembl now provides annotation for 19 genomes, up from 4 the previous year, including new mammalian (Rhesus macaque, Opossum), chordate (Ciona intestinalis), and yeast genomes.
-
Has reproduction · 95
Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.
PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups
Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.
-
Has reproduction · 53
spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.
PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups
spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data
-
Full-text index only
CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.
PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation