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Clone copy number diversity is linked to survival in lung cancer
NASP modulates histone turnover to drive PARP inhibitor resistance
Expanding the cytokine receptor alphabet reprograms T cells into diverse states
New discoveries of <i>Australopithecus</i> and <i>Homo</i> from Ledi-Geraru, Ethiopia
The geologic history of marine dissolved organic carbon from iron oxides
Acidic oxygen reduction by single-atom Fe catalysts on curved supports
Accuracy of rubber-related deforestation maps
Y. Wang et al. reply
Rubber planting and deforestation
Sun-powered flyers could explore the mysterious mesosphere
Spatial correlation in economic analysis of climate change
Publisher Correction: Liquid–liquid interfacial tension stabilized Li-metal batteries
Is gravity quantum? Experiments could finally probe one of physics’ biggest questions
How to thrive as a Latin American researcher abroad
Just how bad will climate change get? The only way to know is to fund basic research
Astronomers gave up this comet for dead — but they were wrong
A single lock of hair could rewrite what we know about Inca record-keeping
Evidence from a 500-year-old khipu suggests commoners helped craft the Inca’s intricate knotted records
New twist on PET scans unlocks hidden signals for diagnosing disease
Overlooked emissions from exotic positronium atoms could improve medical scanners
‘Superefficient’ weaver ants show remarkable strength in numbers
Unlike people, these nest-building insects pull harder in teams
Improving reproducibility of differentially expressed genes in single-cell transcriptomic studies of neurodegenerative diseases through meta-analysis
False positive claims of differentially expressed genes (DEGs) in scRNA-seq studies are of substantial concern. We found that DEGs from individual Parkinson's (PD), Huntington's (HD), and COVID-19 datasets had moderate predictive power for case-control status of other datasets, but DEGs from Alzheimer's (AD) and Schizophrenia (SCZ) datasets had poor predictive power. We developed a non-parametric meta-analysis method, SumRank, based on reproducibility of relative differential expression ranks...