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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AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes.
PMID 17485433 · PMC5947781 · Bioinformatics (Oxford, England) · 2007 · 7 claims · 2 setups
AutoCSA is an automated algorithm, extended from the CSA protocol, that detects DNA sequence variants in cancer genomes with minimal manual intervention
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Has reproduction · 58
iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data.
PMID 35899080 · PMC9310080 · NAR genomics and bioinformatics · 2022 · 8 claims · 4 setups
iCOMIC provides a GUI-driven, Snakemake-based pipeline integrating multiple tools for DNA-Seq and RNA-Seq analysis with minimal command-line interaction.
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Has reproduction
Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.
PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 7 claims · 8 setups
Tabular ML classifiers (TabNet, XGBoost, LightGBM) trained on tumor-only-derived features achieve state-of-the-art somatic vs germline classification, with AUC>94% on TCGA holdout and AUC>85% on metastatic melanoma.
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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated
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Has reproduction · 78
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups
GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.
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Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information.
PMID 18588693 · PMC2446391 · BMC bioinformatics · 2008 · 8 claims · 5 setups
A decision tree built on 10 selected sequence-derived features classifies SAPs as Disease or Polymorphism with 82.6% accuracy and 0.607 MCC in cross-validation.