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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Has reproduction · 75
Single-cell dissection of chronic lung allograft dysfunction reveals convergent and distinct fibrotic mechanisms.
PMID 41122970 · PMC12581678 · JCI insight · 2025 · 8 claims · 8 setups
CLAD exhibits specific cellular subsets including Fibro.AT2 cells, exhausted CD8+ T cells, and superactivated macrophages
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Has reproduction · 67
HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).
PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups
Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution
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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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Embeddings from language models are good learners for single-cell data analysis.
PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups
scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model
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Has reproduction · 64
Celline: a flexible tool for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.
PMID 41458999 · PMC12738925 · Frontiers in bioinformatics · 2025 · 8 claims · 6 setups
Celline is a Python package that automates the full scRNA-seq workflow (retrieval, metadata extraction, preprocessing, cell-type annotation, batch correction, trajectory inference) via single-line commands.
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Multi-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX.
PMID 41723123 · PMC13035843 · Nature communications · 2026 · 8 claims · 6 setups
CAMEX outperforms state-of-the-art integration methods on cross-species scRNA-seq benchmarking datasets ranging from one to eleven species
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VIST: variational inference for single cell time series.
PMID 41535949 · PMC12892444 · Genome biology · 2026 · 8 claims · 6 setups
VIST is a VAE-based method that decomposes single-cell gene expression into time-dependent and time-independent latent components
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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