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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ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs.
PMID 16845048 · PMC1538778 · Nucleic acids research · 2006 · 6 claims · 4 setups
ProMiR II improves on the original ProMiR by integrating free energy, G/C ratio, conservation score and entropy for more controllable miRNA prediction
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Has reproduction · 98
maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.
PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups
maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors
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Computational comparison of two mouse draft genomes and the human golden path.
PMID 12537546 · PMC151282 · Genome biology · 2003 · 8 claims · 7 setups
The Celera and public mouse genome assemblies differ in about 10% of the mouse genome, with complementary strengths (Celera higher base-pair accuracy and overall coverage; public assembly higher quality in some finished BAC regions and freely accessible)
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Has reproduction · 100
Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma.
PMID 34654806 · PMC8519947 · Nature communications · 2021 · 6 claims · 8 setups
A pathway-based super signature from on-treatment samples (PASS-ON) predicts anti-PD1 response with high accuracy (validation AUC 0.85-0.89, combined AUC 0.88) and outperforms existing signatures across all four datasets.
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A mouse to human search for plasma proteome changes associated with pancreatic tumor development.
PMID 18547137 · PMC2504036 · PLoS medicine · 2008 · 7 claims · 8 setups
GEM models combined with in-depth proteomic analysis provide a useful strategy to identify candidate cancer markers applicable to human disease with potential for early detection