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 · 74
Evaluation of classification and forecasting methods on time series gene expression data.
PMID 33156855 · PMC7647064 · PloS one · 2020 · 8 claims · 4 setups
Deep learning based methods generally outperform traditional approaches for time series gene expression classification.
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Has reproduction · 71
Comprehensive comparison of gene expression diversity among a variety of human stem cells.
PMID 36458020 · PMC9706419 · NAR genomics and bioinformatics · 2022 · 8 claims · 8 setups
Tissue origin has a stronger influence on gene expression in iPSCs than in other stem cell types
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Has reproduction · 69
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.
PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 8 claims · 6 setups
An ensemble feature selection strategy using consensus of feature relevance across 8 classifier types identifies a 100-miRNA signature from a 1046-feature TCGA dataset
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Full-text index only
A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.
PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups
A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types
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Has reproduction · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups
GRF identifies effective features that form highly connected sub-graphs on the underlying biological network