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
Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.
PMID 19073697 · PMC2632920 · Nucleic acids research · 2009 · 8 claims · 5 setups
Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes
-
Full-text index only
Systems biology: where it's at in 2005.
PMID 16086862 · PMC1273629 · Genome biology · 2005 · 8 claims · 8 setups
High-throughput genetic-interaction and physical-interaction maps show only minimal overlap with each other, whereas literature-derived genetic and physical interaction maps share a much greater fraction of edges
-
Has reproduction · 100
Exploring Gene Expression Patterns in Alzheimer's Disease Using a Human Microarray Data Meta-Analysis.
PMID 41744654 · PMC12938635 · Biology · 2026 · 7 claims · 7 setups
A meta-analysis of eight microarray studies (10 sub-studies) produced a combined list of 4218 statistically significant DEGs between AD and healthy brain at an adjP cut-off of 0.001
-
Full-text index only
Toward stem cell systems biology: from molecules to networks and landscapes.
PMID 19329576 · PMC2738746 · Cold Spring Harbor symposia on quantitative biology · 2008 · 7 claims · 6 setups
Stem-cell-fate specification is an extremely complex process regulated by multiple mutually interacting molecular mechanisms with numerous regulatory feedback loops.
-
Has reproduction · 59
Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.
PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups
The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance