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).

• Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.

  PMID 37218167 · PMC10208159 · Epigenetics · 2023 · 8 claims · 7 setups

  Has reproduction · 73

  Probe-specific upper and lower thresholds for flagging aberrant DNA methylation can be derived from a reference database of >2,000 normal and tumour-adjacent normal samples spanning 25 tissue types.

  blood tcga gse40279 most illumina supervised unsupervised

• Involvement of N4BP2L1, PLEKHA4, and BEGAIN genes in breast cancer and muscle cell development.

  PMID 38859961 · PMC11163233 · Frontiers in cell and developmental biology · 2024 · 8 claims · 8 setups

  Has reproduction · 73

  N4BP2L1, PLEKHA4, and BEGAIN, normally highly expressed in breast myoepithelial and smooth muscle cells, are significantly downregulated in breast tumor tissue of a 50-patient cohort

  breast paired embryonic hesc-derived bulk rt-qpcr immunofluorescence

• Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.

  PMID 38254989 · PMC10815467 · Genes · 2024 · 8 claims · 8 setups

  Has reproduction · 85

  Combining scRNA-seq and spatial transcriptomics enables inference of malignant cells at the invasive front of the ER+ breast cancer TME and dissection of events at the tumor infiltration forefront

  normal er+ epithelial malignant single-cell spatial copy

• 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

  Has reproduction · 84

  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

  tcga breast metabric brca bulk mirna methylation