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 · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.
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Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups
Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions
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GoMiner: a resource for biological interpretation of genomic and proteomic data.
PMID 12702209 · PMC154579 · Genome biology · 2003 · 8 claims · 4 setups
GoMiner organizes 'interesting' gene lists (e.g., differentially expressed genes) into the Gene Ontology hierarchy for biological interpretation, displaying results as both a tree and a directed acyclic graph (DAG).
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Has reproduction · 53
Combining evidence of preferential gene-tissue relationships from multiple sources.
PMID 23950964 · PMC3741196 · PloS one · 2013 · 8 claims · 8 setups
A high-level integration approach combining three methods across four human microarray datasets, merged by consensus voting and a rule-based inner/total score, predicts preferentially expressed genes while reducing method- and study-specific bias.
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Has reproduction · 75
ResnetAge: A Resnet-Based DNA Methylation Age Prediction Method.
PMID 38247911 · PMC10813502 · Bioengineering (Basel, Switzerland) · 2023 · 8 claims · 4 setups
ResnetAge, a ResNet-based neural network using 22,278 shared Illumina 27K/450K CpG sites, predicts DNA methylation age from beta values.
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Has reproduction · 51
SGCP: a spectral self-learning method for clustering genes in co-expression networks.
PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups
SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.
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PPC: an algorithm for accurate estimation of SNP allele frequencies in small equimolar pools of DNA using data from high density microarrays.
PMID 16199750 · PMC1240117 · Nucleic acids research · 2005 · 7 claims · 6 setups
The PPC algorithm, which applies a probe-pair-specific second-degree polynomial correction, increases the accuracy of allele frequency estimates from pooled DNA compared with previously described algorithms
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How many human genes can be defined as housekeeping with current expression data?
PMID 18416810 · PMC2396180 · BMC genomics · 2008 · 8 claims · 4 setups
Current EST and microarray transcriptome sampling is far from saturated, limiting gene detectability and understanding of tissue-specific expression
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
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.