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 · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class machine learning models built from cross-platform microarray meta-analysis can distinguish bacterial, viral and no-infection states with high accuracy (best model: 93% bacterial, 89% viral correct).
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Has reproduction · 93
5-methylcytosine RNA modification regulators-based patterns and features of immune microenvironment in acute myeloid leukemia.
PMID 38277218 · PMC10911375 · Aging · 2024 · 8 claims · 8 setups
Most of the 17 m5C regulators are differentially expressed between AML and normal samples and correlate with AML prognosis.
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Has reproduction · 64
GeMI: interactive interface for transformer-based Genomic Metadata Integration.
PMID 35657113 · PMC9216561 · Database : the journal of biological databases and curation · 2022 · 8 claims · 5 setups
GeMI is a web tool that uses a fine-tuned GPT2 model to extract 15 structured key-value attributes from free-text GEO sample metadata.
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Has reproduction · 92
Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.
PMID 34773081 · PMC8589952 · Communications biology · 2021 · 8 claims · 7 setups
Large-scale integration of 111 sc/snRNAseq datasets captures rare, transitional myogenic progenitor states (commitment and fusion) that are poorly represented in individual datasets.
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Has reproduction · 96
Deep learning based protocol to construct an immune-related gene network of host-pathogen interactions in plants.
PMID 36525344 · PMC9791427 · STAR protocols · 2023 · 6 claims · 6 setups
A deep-learning protocol (DLNet) ranks genes by their contribution to classifying treatment versus control expression data, identifying genes involved in host defense against pathogens.