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
Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.
PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups
DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection
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Has reproduction · 92
A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.
PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups
The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network
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Full-text index only
'Genome design' model and multicellular complexity: golden middle.
PMID 17062620 · PMC1635334 · Nucleic acids research · 2006 · 8 claims · 8 setups
Intermediately expressed human genes are the longest genes genome-wide, in both coding and intronic sequence, longer than housekeeping or tissue-specific genes.
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Has reproduction · 50
Viewing RNA-seq data on the entire human genome.
PMID 28979763 · PMC5605993 · F1000Research · 2017 · 8 claims · 3 setups
RNA-Seq Viewer is a web application that visualizes genome-wide RNA-seq expression data pulled from NCBI's SRA and GEO databases using Ideogram.js
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Has reproduction · 62
Metatranscriptomics of the human oral microbiome during health and disease.
PMID 24692635 · PMC3977359 · mBio · 2014 · 8 claims · 8 setups
Disease-associated periodontal communities display conserved community-level metabolic gene expression profiles between patients, whereas the metabolic gene expression of individual species is highly variable between patients.