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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A model-based approach to selection of tag SNPs.
PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups
The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.
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Identifying drug effects via pathway alterations using an integer linear programming optimization formulation on phosphoproteomic data.
PMID 19997482 · PMC2776985 · PLoS computational biology · 2009 · 7 claims · 4 setups
An ILP formulation of the Boolean pathway optimization problem fits phosphoproteomic data faster and more efficiently than the previously used genetic algorithm (GA) approach.
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Has reproduction · 83
SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.
PMID 40169992 · PMC11963337 · Genetics, selection, evolution : GSE · 2025 · 8 claims · 2 setups
SIRE 2.0 is a novel Bayesian methodology and software tool for estimating polygenic contributions (variance components and additive genetic effects) to host susceptibility, infectivity and recoverability from temporal epidemic data using pedigree/genomic relationship matrices.
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Has reproduction · 86
Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.
PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups
A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.
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The flexible pocketome engine for structural chemogenomics.
PMID 19727619 · PMC2975493 · Methods in molecular biology (Clifton, N.J.) · 2009 · 8 claims · 8 setups
A comprehensive structural Pocketome combined with ensemble docking enables de novo, structure-based prediction of ligand binding poses and activities for new proteins and new chemical scaffolds.