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Disease progression insights using single-cell/-nucleus genomics
Inferring disease progression stages in single-cell transcriptomics using a weakly supervised deep learning approach
Single-nucleus CUT&RUN elucidates the function of intrinsic and genomics-driven epigenetic heterogeneity in head and neck cancer progression
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April 2026, 36 (4)
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Cross-modality translation in single-cell multiomics
Long-read sequencing of small supernumerary marker chromosomes
Somatic mutant alleles in bulk tumor samples
Honey bee gut microbiota and RNA editing
Substantia nigra aging in Parkinson's disease
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