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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An SVM-based system for predicting protein subnuclear localizations.
PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups
New kernels defined on k-peptide vectors mapped by BLOSUM62-based high-scored pair matrices (D1, D2, D3) improve SVM discrimination of protein subnuclear localization compared to conventional k-peptide encodings.
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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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MitoP2: the mitochondrial proteome database--now including mouse data.
PMID 16381964 · PMC1347489 · Nucleic acids research · 2006 · 8 claims · 8 setups
MitoP2 is a database integrating manually annotated mitochondrial reference proteins, functions, and disease associations for yeast, human, and mouse, with cross-species orthologue mapping
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Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.
PMID 16984653 · PMC1618409 · BMC bioinformatics · 2006 · 8 claims · 6 setups
The proposed feature set outperforms existing published feature sets for predicting effects of amino acid substitutions
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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.
PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information
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Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data.
PMID 19704920 · PMC2688763 · Journal of biomedicine & biotechnology · 2009 · 8 claims · 3 setups
Kernel-based methods (e.g., SVM) can capture nonlinear dose-volume interactions relevant to predicting radiation pneumonitis
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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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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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Discovery and identification of potential biomarkers of papillary thyroid carcinoma.
PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups
A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity
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Analysis of a photosynthetic cyanobacterium rich in internal membrane systems via gradient profiling by sequencing (Grad-seq).
PMID 33793824 · PMC8136920 · The Plant cell · 2021 · 8 claims · 6 setups
Grad-seq resolves complexes with overlapping subunits, such as CpcG1-type versus CpcL-type phycobilisomes or PsaK1 versus PsaK2 photosystem I (pre)complexes, validating the approach.