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 · 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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Has reproduction · 100
Gene co-expression network analysis in human spinal cord highlights mechanisms underlying amyotrophic lateral sclerosis susceptibility.
PMID 33707641 · PMC7970949 · Scientific reports · 2021 · 8 claims · 8 setups
WGCNA on control human cervical spinal cord RNA-seq identifies 13 co-expression modules (SC.M1-M13), each representing distinct biological processes or cell types.
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Full-text index only
DiRE: identifying distant regulatory elements of co-expressed genes.
PMID 18487623 · PMC2447744 · Nucleic acids research · 2008 · 8 claims · 4 setups
DiRE predicts distant regulatory elements by combining gene co-expression data, comparative genomics and TFBS profiles to determine TFBS-association signatures
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Has reproduction · 55
Gene module regulation in dilated cardiomyopathy and the role of Na/K-ATPase.
PMID 35901050 · PMC9333241 · PloS one · 2022 · 5 claims · 8 setups
Several co-expressed gene modules are significantly associated with left ventricle ejection fraction (LVEF) and the DCM phenotype, enriched in fibrosis-related, small molecule transporting-related, and immune response-related pathways.
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Has reproduction · 96
Deep learning based protocol to construct an immune-related gene network of host-pathogen interactions in plants.
PMID 36525344 · PMC9791427 · STAR protocols · 2023 · 6 claims · 6 setups
A deep-learning protocol (DLNet) ranks genes by their contribution to classifying treatment versus control expression data, identifying genes involved in host defense against pathogens.
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Has reproduction · 44
Weighted gene co-expression network analysis reveals that CXCL10, IRF7, MX1, RSAD2, and STAT1 are related to the chronic stage of spinal cord injury.
PMID 34532385 · PMC8421925 · Annals of translational medicine · 2021 · 8 claims · 7 setups
The brown co-expression module (775 genes) is the module most significantly associated with the chronic stage of SCI
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Has reproduction · 50
Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.
PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups
A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database
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Has reproduction · 92
Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.
PMID 34056582 · PMC8155268 · Frontiers in artificial intelligence · 2021 · 8 claims · 8 setups
MCF-7 cell lines and human breast cancer tissues share only minimal similarity in biological processes, though fundamental functions such as cell cycle are conserved
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 6 claims · 7 setups
DeepProg, an ensemble of deep-learning and machine-learning models, robustly predicts patient survival subtypes from multi-omics data and explicitly models survival as the objective while predicting new patient risks
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Has reproduction · 50
Heterogeneity of cancer-associated fibroblasts in head and neck squamous cell carcinoma.
PMID 37320872 · PMC10277597 · Translational oncology · 2023 · 8 claims · 9 setups
Seven distinct CAF subsets exist in HNSCC, identified via integration of scRNA-seq, bulk transcriptomic, and spatial transcriptomic data.