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).
-
Full-text index only
Independent component analysis reveals new and biologically significant structures in micro array data.
PMID 16762055 · PMC1557674 · BMC bioinformatics · 2006 · 7 claims · 8 setups
ICA applied to three microarray datasets reveals many biologically significant components, including low-ranking ones not obvious by rank alone
-
Full-text index only
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
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.
-
Full-text index only
Genomic expression during human myelopoiesis.
PMID 17683550 · PMC2045681 · BMC genomics · 2007 · 8 claims · 5 setups
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.
-
Full-text index only
A distinct epigenetic signature at targets of a leukemia protein.
PMID 17266773 · PMC1796549 · BMC genomics · 2007 · 7 claims · 7 setups
Combining gene expression microarray analysis with bioinformatic search for AML1-consensus sequences identifies direct AML1 targets that expression analysis alone cannot resolve
-
Has reproduction · 26
Integrating transcriptomic datasets across neurological disease identifies unique myeloid subpopulations driving disease-specific signatures.
PMID 36527260 · PMC10952672 · Glia · 2023 · 6 claims · 3 setups
The bulk microglial and monocyte transcriptomic program is highly contingent on the disease environment, challenging the notion of a universal microglial disease signature
-
Full-text index only
Are gene expression microarray analyses reliable? A review of studies of retinoic acid responsive genes.
PMID 15626329 · PMC5171945 · Genomics, proteomics & bioinformatics · 2003 · 6 claims · 8 setups
Published microarray studies aiming to identify RA-responsive genes show substantial, often contradictory, differences in results across research groups.
-
Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.
-
Full-text index only
Functional analysis of human hematopoietic stem cell gene expression using zebrafish.
PMID 16089502 · PMC1166352 · PLoS biology · 2005 · 8 claims · 8 setups
277 unique transcripts are differentially expressed between Rho lo and Rho hi HSC-enriched/depleted populations, conserved across both umbilical cord blood and bone marrow
-
Full-text index only
Iterative class discovery and feature selection using Minimal Spanning Trees.
PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups
Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering
-
Full-text index only
Glia maturation factor gamma (GMFG): a cytokine-responsive protein during hematopoietic lineage development and its functional genomics analysis.
PMID 17127212 · PMC5054077 · Genomics, proteomics & bioinformatics · 2006 · 8 claims · 6 setups
GMFG is a cytokine-responsive protein in EPO-induced (erythroid) and G-CSF-induced (myeloid) hematopoietic lineage development
-
Has reproduction · 94
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
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