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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Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.
PMID 15784611 · PMC1069129 · Nucleic acids research · 2005 · 7 claims · 8 setups
Position-specific phylogenetic features describing evolutionary conservation at a site (e.g. SIFT score, normalized site entropy, residue frequency change) are the best individual discriminators of disease-causing versus neutral GPCR mutations.
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Peptide bioinformatics: peptide classification using peptide machines.
PMID 19065810 · PMC7122642 · Methods in molecular biology (Clifton, N.J.) · 2008 · 8 claims · 4 setups
The bio-basis function, which converts peptides into numerical vectors using nongapped pairwise homology alignment scores against indicator peptides, can statistically quantify peptide similarity for classification.
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PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.
PMID 15608166 · PMC540074 · Nucleic acids research · 2005 · 7 claims · 4 setups
PA-GOSUB significantly extends the coverage of GO molecular function and subcellular localization annotations for 10 model organism proteomes compared with existing databases (GOA, Swiss-Prot).
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Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups
MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.
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Analysis of expressed sequence tags from Actinidia: applications of a cross species EST database for gene discovery in the areas of flavor, health, color and ripening.
PMID 18655731 · PMC2515324 · BMC genomics · 2008 · 7 claims · 6 setups
A collection of 132,577 ESTs from four Actinidia species was generated and clustered into 41,858 non-redundant clusters (18,070 TCs and 23,788 singletons)