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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Interaction profile-based protein classification of death domain.
PMID 15189571 · PMC459208 · BMC bioinformatics · 2004 · 7 claims · 6 setups
An SVM-based classifier using Residue Pair Interaction Profiles (RPIPs) can classify death domain superfamily members into subfamilies with 89% average cross-validation accuracy
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Evolutionary trace annotation of protein function in the structural proteome.
PMID 20036248 · PMC2831211 · Journal of molecular biology · 2010 · 8 claims · 7 setups
ET-ranked residue clusters can be used to build 3D templates that predict GO function in enzymes and non-enzymes alike, without prior knowledge of functional mechanism.
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A modified T-test feature selection method and its application on the HapMap genotype data.
PMID 18267305 · PMC5054219 · Genomics, proteomics & bioinformatics · 2007 · 7 claims · 4 setups
A modified t-test ranking measure, extended to handle nominal SNP genotype data via vector transformation, can effectively rank SNPs by their discriminative capability for population classification.
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Has reproduction · 83
Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.
PMID 26538066 · PMC4634735 · BMC medical genomics · 2015 · 8 claims · 7 setups
A multigene expression biomarker from PBMCs accurately classifies familial breast cancer (FBC) status
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Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.
PMID 15207009 · PMC449699 · BMC bioinformatics · 2004 · 8 claims · 8 setups
New classifiers (SVMs, ensembles) and new wavelet-derived (Gabor, Daubechies) features improve recognition of protein subcellular location patterns over the previous neural network approach
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SePaCS--a web-based application for classification of seroreactivity profiles.
PMID 17478503 · PMC1933220 · Nucleic acids research · 2007 · 8 claims · 4 setups
SePaCS is a freely available web-based tool that trains and applies multiple classification methods (4 Naive Bayes variants, SVM with RBF kernel, LDA, DLDA) to seroreactivity profiles and outputs results as a summary table plus a detailed PDF report
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A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.
PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups
Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.
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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 · 8 claims · 5 setups
Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)
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Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival.
PMID 18778477 · PMC2553089 · BMC medicine · 2008 · 7 claims · 7 setups
A custom BOAC SNP panel of 3404 SNPs in 983 genes was developed using the Affymetrix GeneChip Targeted Genotyping Platform, focused on non-synonymous coding SNPs and regulatory-region SNPs in candidate genes.