State predicts cellular perturbation effects across diverse contexts with over 30% improved discrimination on large datasets.
- 6 cited this week
Moving in Cell, Cancer Cell, Nature Cell Biology and Nature Communications.
Rebuilt
State predicts cellular perturbation effects across diverse contexts with over 30% improved discrimination on large datasets.
Molecular phenotypes and spatial archetypes reveal distinct CAF identities linked to tissue context, advancing precision targeting in cancer therapy.
AI model "Path2Space" predicts spatial gene expression from histopathology slides, accurately inferring thousands of genes and outperforming 21 established methods in breast cancer.
Dreamlet enables fast, memory-efficient differential expression analysis of large-scale single-cell transcriptomics data, accurately identifying gene-trait associations across 150 Alzheimer's cases.
RNA fingerprinting accurately assigns single-cell transcriptional responses to perturbations, resolving combinatorial effects and scaling to genome-wide screens.
Spatial multi-omic atlas reveals distinct hepatocyte- and cholangiocyte-lineage programs and cardiac progenitors in a CS12 human embryo.
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Spatial multi-omic atlas reveals distinct hepatocyte- and cholangiocyte-lineage programs and cardiac progenitors in a CS12 human embryo.
Early lineage divergence in the embryonic mouse thalamus segregates sensory and motor-associative identities from distinct progenitor domains.
Multidrug-resistant Klebsiella pneumoniae infection causes immune activation, macrophage heterogeneity, and fibrosis in porcine lungs at single-cell resolution.
A non-canonical reactive astrocyte state (Ast10) is linked to neuropathologies and cognitive decline in Alzheimer's disease across diverse human brains.
Monocyte-lineage expansion is linked to transcriptomic individuality in genetically identical Dasypus novemcinctus quadruplets, with the most distinct individual showing increased monocytes.
Spatial transcriptomics reveals distinct tumor cell states and multicellular niches along the core-edge axis in glioblastoma.
LUNA, a generative AI model, accurately reconstructs tissue architecture from dissociated gene expression profiles, demonstrated by inferring spatial locations in over 1.2 million cells from the mouse brain atlas.
A chromosome-scale genome and root single-cell atlas reveal genetic divergence and key regulatory genes in Olea europaea subsp. cuspidata, supporting stress tolerance research.
Lymph node-tumor ecosystem remodeling during gastric cancer metastasis involves dynamic immune cell changes and is linked to specific molecular pathways.
A modular lentiviral system enables multiplexed gene perturbation revealing hormone receptor interdependence in breast cancer growth in vivo.
HERO reduces and refines whole-brain atlas-mapped cellular datasets by enabling hierarchical analysis, improving data clarity and reproducibility across neuroscience studies.
Single-cell and spatial genomics reveal complex gene regulation in trophoblasts at the human maternal-fetal interface.
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Topics moving, week to 22 Oct 2026