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
Human Retrotransposons and Effective Computational Detection Methods for Next-Generation Sequencing Data.
PMID 36295018 · PMC9605557 · Life (Basel, Switzerland) · 2022 · 8 claims · 7 setups
Transposable elements make up nearly 45% of the human genome, vastly exceeding the ~1.5% that is protein-coding.
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Has reproduction · 32
Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.
PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 7 claims · 4 setups
A panel of 22 genetic features with Naïve Bayes can predict whether lung adenocarcinoma patient survival time is >3 years (accuracy=75%, AUC=0.81).
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Has reproduction · 91
Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye.
PMID 30010758 · PMC6065499 · GigaScience · 2018 · 6 claims · 7 setups
A hybrid de novo assembly combining high-depth Illumina short reads (376.6X) and low-depth PacBio long reads (9.7X) produced the YO draft genome Ogye_1.1 with contig and scaffold NG50 of 362.3 Kbp and 16.8 Mbp.
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Has reproduction · 77
SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.
PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 7 claims · 6 setups
SurvConvMixer reformats KEGG Pathways-in-Cancer gene expression values into pathway-level 2D gene expression images and applies a ConvMixer-based model for overall survival prediction
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Full-text index only
A critical reassessment of the role of mitochondria in tumorigenesis.
PMID 16187796 · PMC1240051 · PLoS medicine · 2005 · 8 claims · 8 setups
A significant number of published medical mtDNA cancer studies are based on obviously flawed sequencing results.