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).

• SW-ARRAY: a dynamic programming solution for the identification of copy-number changes in genomic DNA using array comparative genome hybridization data.

  PMID 15961730 · PMC1151590 · Nucleic acids research · 2005 · 7 claims · 5 setups

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  SW-ARRAY, an adaptation of the Smith-Waterman dynamic programming algorithm, provides a sensitive and robust method for identifying copy-number changes in array CGH data

  chromosome 16p array probe-by-probe sw-array

• Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.

  PMID 18769673 · PMC2518838 · PloS one · 2008 · 8 claims · 6 setups

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  The protein sequence-structure map behaves as a noisy digital communication channel whose capacity C exceeds the transmission rate R for native structures, satisfying Shannon's noisy channel theorem

  chains pdbselect25 same single-domain statistical channel negative

• Identification of gene interactions associated with disease from gene expression data using synergy networks.

  PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups

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  Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.

  prostate simulated microarray simulated permutation

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.

  hepatocellular breast sporadic geo gene differential interaction

• MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.

  PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs

  real combined pre-mirna training random independent repeated