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).

• Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.

  PMID 15207009 · PMC449699 · BMC bioinformatics · 2004 · 8 claims · 8 setups

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  New classifiers (SVMs, ensembles) and new wavelet-derived (Gabor, Daubechies) features improve recognition of protein subcellular location patterns over the previous neural network approach

  hela automated stepwise training-set-size

• Detection of rare mutant K-ras DNA in a single-tube reaction using peptide nucleic acid as both PCR clamp and sensor probe.

  PMID 16432256 · PMC1345699 · Nucleic acids research · 2006 · 8 claims · 5 setups

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  A 17mer PNA spanning K-ras codons 12/13 can serve as both PCR clamp and sensor probe in a single-tube reaction, differentiating all 12 possible point mutations from wild-type by melting temperature shift

  wild-type mixture mutant serial melting real-time limit-of-detection

• Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.

  PMID 15099405 · PMC411067 · BMC bioinformatics · 2004 · 7 claims · 2 setups

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  Two-way ANOVA and Mack-Skillings tests on probe-level data with FDR control are substantially more powerful than t-test/Wilcoxon on probe-set level data for detecting differential expression

  fibroblast background high-density

• High quality catalog of proteotypic peptides from human heart.

  PMID 18803417 · PMC2765113 · Journal of proteome research · 2008 · 8 claims · 4 setups

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  A catalog of 4476 proteotypic peptides representing 2558 human heart proteins was generated from MudPIT analyses of nonfailing and failing left-ventricular explants

  left-ventricular unfractionated heart mudpit selected preparation

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

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  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal