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
FracFixR: a compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data.
PMID 41264734 · PMC12866640 · Bioinformatics (Oxford, England) · 2026 · 7 claims · 5 setups
FracFixR reconstructs original fraction proportions by modeling the compositional relationship between whole and fractionated RNA samples using non-negative least squares (NNLS) regression on selected transcripts
-
Full-text index only
Robust and efficient annotation of cell states through gene signature scoring.
PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups
Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.
-
Full-text index only
HRCHY-CytoCommunity identifies hierarchical tissue organization in cell-type spatial maps.
PMID 41764165 · PMC13065825 · Nature communications · 2026 · 8 claims · 5 setups
HRCHY-CytoCommunity is an end-to-end graph neural network framework that jointly identifies multi-level (coarse tissue compartment and fine cellular neighborhood) tissue structures from cell-type spatial maps using differentiable graph pooling, adaptive edge pruning, and consistency/balance regularization.
-
Has reproduction · 50
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.
PMID 33662629 · PMC9801043 · Genomics, proteomics & bioinformatics · 2022 · 8 claims · 8 setups
DeeReCT-APA quantitatively predicts the usage of all competing PASs of a gene simultaneously, rather than casting the problem as pairwise comparison like prior methods.
-
Full-text index only
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