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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Information-theoretic identification of predictive SNPs and supervised visualization of genome-wide association studies.
PMID 16899448 · PMC1557808 · Nucleic acids research · 2006 · 7 claims · 4 setups
3D VizStruct (DFT-based radial mapping + KLD as z-axis) can identify SNPs/polymorphic markers that are predictive of underlying biological class distinctions across diverse datasets
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Supervised learning-based tagSNP selection for genome-wide disease classifications.
PMID 18366619 · PMC2386071 · BMC genomics · 2008 · 7 claims · 2 setups
SRFA (Supervised Recursive Feature Addition) is a novel feature selection method combining supervised learning and statistical redundancy measures for SNP selection
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Integrative genomics analysis of chromosome 5p gain in cervical cancer reveals target over-expressed genes, including Drosha.
PMID 18559093 · PMC2440550 · Molecular cancer · 2008 · 7 claims · 6 setups
Gain of chromosome 5p is the most frequent genomic alteration in invasive cervical cancer
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Machine-learning approaches for classifying haplogroup from Y chromosome STR data.
PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups
Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information
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Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1.
PMID 18992264 · PMC2682550 · Mutation research · 2009 · 8 claims · 8 setups
A combined functional assay, bioinformatics prediction, and structural modeling approach can classify BRCA1 variants of uncertain significance
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Bayesian survival analysis in genetic association studies.
PMID 18617538 · PMC2530885 · Bioinformatics (Oxford, England) · 2008 · 7 claims · 5 setups
A novel Bayesian method (BETA-Surv) extends prior case-control haplotype-clustering work to censored survival outcomes by clustering haplotypes via gene tree/perfect phylogeny topology and relative mutation age.