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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Has reproduction · 78
Evaluating Distribution and Prognostic Value of New Tumor-Infiltrating Lymphocytes in HCC Based on a scRNA-Seq Study With CIBERSORTx.
PMID 33043022 · PMC7527443 · Frontiers in medicine · 2020 · 6 claims · 8 setups
CIBERSORTx can combine scRNA-seq-derived signature matrices with bulk RNA-seq data to estimate proportions of 11 TIL subsets in HCC tumor and normal tissue
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Has reproduction · 69
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.
PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 8 claims · 6 setups
An ensemble feature selection strategy using consensus of feature relevance across 8 classifier types identifies a 100-miRNA signature from a 1046-feature TCGA dataset
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SePaCS--a web-based application for classification of seroreactivity profiles.
PMID 17478503 · PMC1933220 · Nucleic acids research · 2007 · 8 claims · 4 setups
SePaCS is a freely available web-based tool that trains and applies multiple classification methods (4 Naive Bayes variants, SVM with RBF kernel, LDA, DLDA) to seroreactivity profiles and outputs results as a summary table plus a detailed PDF report
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Has reproduction · 83
Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.
PMID 26538066 · PMC4634735 · BMC medical genomics · 2015 · 8 claims · 7 setups
A multigene expression biomarker from PBMCs accurately classifies familial breast cancer (FBC) status
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Network-assisted protein identification and data interpretation in shotgun proteomics.
PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups
Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.