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).

• Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome.

  PMID 18986552 · PMC2625353 · BMC systems biology · 2008 · 8 claims · 6 setups

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  Integrated WGCNA (IWGCNA), which adds genetic marker-based causality testing to standard WGCNA, can identify a disease-related module and its causal drivers

  cfs most candidate second microarray snp weighted

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  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.

  hepatocellular breast sporadic geo gene differential interaction

• Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases.

  PMID 18842138 · PMC2760875 · Genome biology · 2008 · 8 claims · 6 setups

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  AD-related genes (APOE, A2M, PON2, MAP4) and CVD-associated genes (COMT, CBS, WNK1) congregate in a single co-expression module, linking AD and CVD at the transcriptional level

  entorhinal subjects expression differentially microarray significance principal

• 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

  Has reproduction · 100

  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.

  cervical als top yeast bulk stratified protein-protein

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• The biological function of some human transcription factor binding motifs varies with position relative to the transcription start site.

  PMID 18367472 · PMC2377430 · Nucleic acids research · 2008 · 8 claims · 5 setups

  Full-text index only

  1226 eight-letter DNA words show statistically significant positional preferences relative to the TSS across 7914 human promoter regions

  putative nonredundant homo genes computational pssm semantic

• A comprehensive modular map of molecular interactions in RB/E2F pathway.

  PMID 18319725 · PMC2290939 · Molecular systems biology · 2008 · 8 claims · 4 setups

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  A comprehensive, curated map of RB/E2F pathway molecular interactions was built using SBGN notation in CellDesigner and converted to BioPAX 2.0 format

  bladder computational curated literature transcriptome gene network

• Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.

  PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups

  Has reproduction · 71

  Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.

  breast colorectal brca representative gene comparative multi-omic

• Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.

  PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups

  Has reproduction · 59

  Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort

  pancreatic rna-seq liver tumor bulk machine multi-label