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 · 51
SGCP: a spectral self-learning method for clustering genes in co-expression networks.
PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups
SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.
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Full-text index only
Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes
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Has reproduction · 63
Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis.
PMID 34335581 · PMC8322955 · Frontiers in immunology · 2021 · 7 claims · 8 setups
Three independently generated human liver CD45+ scRNA-seq datasets (LACEe, Lnb, LCD45e) can be co-clustered and integrated despite differing sequencing platforms and processing protocols.
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Has reproduction · 50
MEDUSA: A Pipeline for Sensitive Taxonomic Classification and Flexible Functional Annotation of Metagenomic Shotgun Sequences.
PMID 35330728 · PMC8940201 · Frontiers in genetics · 2022 · 6 claims · 6 setups
MEDUSA is an automated, Conda-installable and Snakemake-managed pipeline performing preprocessing, assembly, alignment, taxonomic classification, and functional annotation on shotgun data.