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Transformers in single-cell omics: a review and new perspectives
Recent efforts to construct reference maps of cellular phenotypes have expanded the
volume and diversity of single-cell omics data, providing an unprecedented resource for …
volume and diversity of single-cell omics data, providing an unprecedented resource for …
Integrating single-cell multi-omics and prior biological knowledge for a functional characterization of the immune system
The immune system comprises diverse specialized cell types that cooperate to defend the
host against a wide range of pathogenic threats. Recent advancements in single-cell and …
host against a wide range of pathogenic threats. Recent advancements in single-cell and …
Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities
Gene regulation plays a critical role in the cellular processes that underlie human health and
disease. The regulatory relationship between transcription factors (TFs), key regulators of …
disease. The regulatory relationship between transcription factors (TFs), key regulators of …
Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data
Existing methods for gene regulatory network (GRN) inference rely on gene expression data
alone or on lower resolution bulk data. Despite the recent integration of chromatin …
alone or on lower resolution bulk data. Despite the recent integration of chromatin …
Microfluidic impedance cytometry enabled one‐step sample preparation for efficient single‐cell mass spectrometry
Single‐cell mass spectrometry (MS) is significant in biochemical analysis and holds great
potential in biomedical applications. Efficient sample preparation like sorting (ie, separating …
potential in biomedical applications. Efficient sample preparation like sorting (ie, separating …
Single-cell analysis of chromatin accessibility in the adult mouse brain
Recent advances in single-cell technologies have led to the discovery of thousands of brain
cell types; however, our understanding of the gene regulatory programs in these cell types is …
cell types; however, our understanding of the gene regulatory programs in these cell types is …
Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data
Inferring gene regulatory networks (GRNs) is a fundamental challenge in biology that aims
to unravel the complex relationships between genes and their regulators. Deciphering these …
to unravel the complex relationships between genes and their regulators. Deciphering these …
Cancer drug-tolerant persister cells: from biological questions to clinical opportunities
The emergence of drug resistance is the most substantial challenge to the effectiveness of
anticancer therapies. Orthogonal approaches have revealed that a subset of cells, known as …
anticancer therapies. Orthogonal approaches have revealed that a subset of cells, known as …
Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing
Renal proximal tubule epithelial cells have considerable intrinsic repair capacity following
injury. However, a fraction of injured proximal tubule cells fails to undergo normal repair and …
injury. However, a fraction of injured proximal tubule cells fails to undergo normal repair and …
Gene expression networks regulated by human personality
Genome-wide association studies of human personality have been carried out, but
transcription of the whole genome has not been studied in relation to personality in humans …
transcription of the whole genome has not been studied in relation to personality in humans …