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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Applying proteomics to the diagnosis and treatment of ALS and related diseases.
PMID 19670321 · PMC2836583 · Muscle & nerve · 2009 · 8 claims · 8 setups
Protein-based biomarkers for ALS/MND require further verification and large-scale validation/qualification studies, including disease mimics, before clinical use
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Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups
A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.
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Has reproduction · 80
Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.
PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups
Combining WGCNA hub genes and VAE 10-dimensional representation as features for an SVM classifier achieves high accuracy in predicting CRC
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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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DoBSeqWF: a framework for sensitive detection of individual genetic variation in pooled sequencing data.
PMID 41704565 · PMC12907731 · NAR genomics and bioinformatics · 2026 · 7 claims · 5 setups
DoBSeqWF, a Nextflow-based pipeline, processes pooled DoBSeq sequencing data through alignment, variant calling, machine-learning-based filtering, and variant pinpointing/assignment to individuals.
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Detection of venous thromboembolism by proteomic serum biomarkers.
PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups
A neural network-based classifier built from direct MALDI-TOF MS serum protein expression profiles can diagnose VTE with sensitivity/specificity that exceeds D-dimer assays