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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Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.
PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups
ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.
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Constructing support vector machine ensembles for cancer classification based on proteomic profiling.
PMID 16689692 · PMC5173238 · Genomics, proteomics & bioinformatics · 2005 · 7 claims · 4 setups
CSVME, built by selecting a subset of base SVMs via SVM-RFE ranking and fusing them with a trained upper-layer SVM, achieves better classification performance than an ensemble of all base SVMs.
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Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions.
PMID 18509521 · PMC2396875 · PloS one · 2008 · 7 claims · 6 setups
wKIERA combines a weighted-kernel discriminant (kernel perceptron) with an iterative stochastic probability estimation-of-distribution algorithm to estimate a relevance distribution over variables
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Biomarkers of lupus nephritis determined by serial urine proteomics.
PMID 18596723 · PMC2614389 · Kidney international · 2008 · 7 claims · 6 setups
SELDI-TOF-MS screening of the LMW urine proteome identifies protein ions that are differentially expressed across phases of the lupus nephritis flare cycle (baseline, pre-flare, flare, post-flare)
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Development of proteomic patterns for detecting lung cancer.
PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups
A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls
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Transcriptome and proteome expressions involved in insulin resistance in muscle and activated T-lymphocytes of patients with type 2 diabetes.
PMID 18267303 · PMC5054231 · Genomics, proteomics & bioinformatics · 2007 · 8 claims · 8 setups
Gene expression of INSR, VDR, IDE, Akt, IRS-1, IRS-2, GLUT4, and glycolytic pathway enzymes is decreased at least 50% in T2DM muscle and activated T-cells versus non-diabetic controls