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).

• Iterative class discovery and feature selection using Minimal Spanning Trees.

  PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups

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  Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering

  simulated breast acute diffuse synthetic cdna microarray

• Independent component analysis reveals new and biologically significant structures in micro array data.

  PMID 16762055 · PMC1557674 · BMC bioinformatics · 2006 · 7 claims · 8 setups

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  ICA applied to three microarray datasets reveals many biologically significant components, including low-ranking ones not obvious by rank alone

  acute serum-stimulated head aml microarray clust term

• Genomic expression during human myelopoiesis.

  PMID 17683550 · PMC2045681 · BMC genomics · 2007 · 8 claims · 5 setups

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  An integrated myelopoiesis expression dataset of 9,425 genes, each mapped to a unique genomic position, was generated from 24 microarray experiments across 8 myeloid cell types.

  myeloid same cd34+ gene microarray unsupervised sam

• Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

  PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups

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  A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.

  myeloid reference selected genome-localized microarray promoter k-medoids

• Systematic clustering algorithm for chromatin accessibility data and its application to hematopoietic cells.

  PMID 33253153 · PMC7728210 · PLoS computational biology · 2020 · 6 claims · 3 setups

  Has reproduction · 90

  Representing the genome as a binary string (1/0) of peak presence and computing Hamming distances enables hierarchical clustering of ATAC-seq samples with reduced computational cost while preserving cell-type classification.

  leukemia hematopoietic atac-seq rna-seq

• Bulk and single-cell characterisation of the immune heterogeneity of atherosclerosis identifies novel targets for immunotherapy.

  PMID 36855107 · PMC9974063 · BMC biology · 2023 · 8 claims · 8 setups

  Has reproduction · 70

  Integration of scRNA-seq datasets from human atherosclerosis samples identifies 28 distinct immune cell subpopulations with heterogeneity in tissue preference, genetics, function, immune dynamics, transcriptional regulators, metabolism, and cell communication.

  immune atherosclerotic cd4+ cd8+ scrna-seq gsea pseudotime

• Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis.

  PMID 34335581 · PMC8322955 · Frontiers in immunology · 2021 · 7 claims · 8 setups

  Has reproduction · 63

  Three independently generated human liver CD45+ scRNA-seq datasets (LACEe, Lnb, LCD45e) can be co-clustered and integrated despite differing sequencing platforms and processing protocols.

  liver pbmc integrated gene scrna-seq differential ingenuity

• iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.

  PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal

  nsclc coad brca tcga scrna-seq bulk rna-seq