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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SNAP: predict effect of non-synonymous polymorphisms on function.
PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups
SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function
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Comparison of multidimensional shotgun technologies targeting tissue proteomics.
PMID 19960471 · PMC3465977 · Electrophoresis · 2009 · 6 claims · 4 setups
CITP-based multidimensional separation achieves superior overall proteome performance (more total peptide, distinct peptide, and distinct protein identifications) than SCX/MuDPIT under matched conditions
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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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Has reproduction · 19
Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma.
PMID 36015199 · PMC9413912 · Pharmaceutics · 2022 · 8 claims · 8 setups
Shared differentially expressed genes link glioblastoma with ischemic stroke and with moyamoya disease, revealing molecular associations among the diseases.
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The role of proteomics in depression research.
PMID 19997739 · PMC2940035 · European archives of psychiatry and clinical neuroscience · 2010 · 8 claims · 8 setups
Proteomics offers a complementary, functional-endpoint approach that can elucidate MDD pathophysiological mechanisms and biomarkers beyond transcriptomic/targeted studies
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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