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).

• A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

  PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups

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  Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units

  pbmc genes monocytes original microarray literature stimulation

• Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer.

  PMID 36245985 · PMC9553530 · Journal of oncology · 2022 · 6 claims · 8 setups

  Has reproduction

  A deep learning WSI cluster (three-class mini batch K-means on Inception V3 features) is associated with overall survival (P<0.001) and is an independent prognostic predictor (P=0.031) in BLCA.

  tcga-blca blca tcga deep transfer-learning neural-network

• 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

• Transcriptomic analysis unravels the molecular response of Lonicera japonica leaves to chilling stress.

  PMID 36618608 · PMC9815118 · Frontiers in plant science · 2022 · 8 claims · 8 setups

  Has reproduction · 75

  Chilling stress significantly alters the ratio of anthocyanins, chlorophylls, and carotenoids, causing leaf color to change from green to purple

  japonica arabidopsis pigment bulk functional

• Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.

  PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.

  olfactory present same anova-significant microarray step-down peddada