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).

• Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer.

  PMID 33584715 · PMC7873865 · Frontiers in immunology · 2020 · 8 claims · 7 setups

  Has reproduction · 45

  Eight distinct T cell populations are identifiable in CRC tumor tissue and seven in peripheral blood by unsupervised clustering of scRNA-seq data.

  tumor peripheral cd4+ eight single-cell unsupervised ligand-receptor

• Array-based profiling of reference-independent methylation status (aPRIMES) identifies frequent promoter methylation and consecutive downregulation of ZIC2 in pediatric medulloblastoma.

  PMID 17344319 · PMC1874664 · Nucleic acids research · 2007 · 7 claims · 7 setups

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  aPRIMES is a novel array-based method that detects direct (absolute) methylation status of CGIs via competitive hybridization of McrBC-digested (methylated) versus HpaII/BstUI-digested (unmethylated) DNA from the same genome, avoiding reference-tissue and copy-number biases

  pediatric tumor eight desmoplastic aprimes bisulfite quantitative

• Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.

  PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)

  pbmc cord melanoma lung scrna-seq computational

• Transcription network construction for large-scale microarray datasets using a high-performance computing approach.

  PMID 18366618 · PMC2386070 · BMC genomics · 2008 · 8 claims · 7 setups

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  RMT removes the random noise component of the gene expression correlation matrix by testing its eigenvalue statistics against a null hypothesis derived from a truly random correlation matrix

  yeast liver eight-node microarray k-means hybrid