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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A comprehensive toolkit for analyzing cell-free DNA genomic sequencing data in liquid biopsy.
PMID 42111187 · PMC13157187 · iScience · 2026 · 8 claims · 8 setups
cfDNAanalyzer integrates feature extraction, feature processing/selection, and machine learning model building into a single one-command-line toolkit for cfDNA genomic sequencing data
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Frag'n'Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments.
PMID 41486154 · PMC12828970 · BMC bioinformatics · 2026 · 8 claims · 8 setups
Frag'n'Flow is a Nextflow-based pipeline that encapsulates FragPipe, automating manifest/workflow generation, tool dependency management, and downstream analysis for HPC/cloud/cluster environments.
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Has reproduction · 79
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.
PMID 34254998 · PMC8575036 · Briefings in bioinformatics · 2021 · 6 claims · 4 setups
ParProx implements latent group lasso penalized regression (overlapping and non-overlapping groups) for survival (Cox) and classification (logistic) analysis of omics data.
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data
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S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
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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.