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Published in 2025 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.4c06777
Abstract: Single-cell multi-omics has transformed our understanding of cellular heterogeneity, yet incorporating mitochondrial DNA (mtDNA) remains challenging. Recent studies underscore the critical role of fixation and permeabilization techniques in preserving sample integrity, optimizing Tn5 tagmentation, and…
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Keywords:
multi omics;
single cell;
fixation permeabilization;
cell ... See more keywords
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2
Published in 2023 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbad081
Abstract: Abstract Single-cell omics data are growing at an unprecedented rate, whereas effective integration of them remains challenging due to different sequencing methods, quality, and expression pattern of each omics data. In this study, we propose…
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Keywords:
cell;
universal framework;
integration;
single cell ... See more keywords
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Published in 2024 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbae228
Abstract: Abstract Motivation The technology for analyzing single-cell multi-omics data has advanced rapidly and has provided comprehensive and accurate cellular information by exploring cell heterogeneity in genomics, transcriptomics, epigenomics, metabolomics and proteomics data. However, because of…
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Keywords:
multi omics;
single cell;
matrix factorization;
cell ... See more keywords
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Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf157
Abstract: Abstract Single-cell multi-omics technologies have revolutionized the study of cell states and functions by simultaneously profiling multiple molecular layers within individual cells. However, existing methods for integrating these data struggle to preserve critical feature information…
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Keywords:
variational autoencoder;
multi omics;
single cell;
cell ... See more keywords
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1
Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac190
Abstract: MOTIVATION LIGER (Linked Inference of Genomic Experimental Relationships) is a widely used R package for single-cell multi-omic data integration. However, many users prefer to analyze their single-cell datasets in Python, which offers an attractive syntax…
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Keywords:
cell;
multi omic;
data integration;
single cell ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac736
Abstract: Abstract Motivation Single-cell multi-omics sequencing techniques have rapidly developed in the past few years. Clustering analysis with single-cell multi-omics data may give us novel perspectives to dissect cellular heterogeneity. However, multi-omics data have the properties…
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Keywords:
cell multi;
multi omics;
single cell;
omics data ... See more keywords
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Published in 2022 at "Genome Research"
DOI: 10.1101/gr.276665.122
Abstract: The preconceptual, intrauterine, and early life environments can have a profound and long-lasting impact on the developmental trajectories and health outcomes of the offspring. Given the relatively low success rates of assisted reproductive technologies (ART;…
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Keywords:
cell;
multi omics;
single cell;
omics human ... See more keywords
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1
Published in 2019 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2018.2882386
Abstract: In this paper, downlink (DL) precoding and power allocation strategies are identified for a time-division-duplex multi-cell multi-user massive full-dimension MIMO network. Utilizing channel reciprocity, DL channel state information feedback is eliminated and the DL multi-user…
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Keywords:
mimo;
multi cell;
cell multi;
downlink precoding ... See more keywords
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Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2024.3441093
Abstract: In aerial reconfigurable intelligent surface (RIS) aided networks, high line-of-sight (LoS) and agility characteristics provide favorable conditions for RIS reflection. However, this also introduces extra LoS RIS reflection interference, especially when aerial RIS is fixedly…
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Keywords:
multi cell;
aided multi;
reconfigurable intelligent;
cell multi ... See more keywords
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2
Published in 2023 at "Science Advances"
DOI: 10.1126/sciadv.abp8901
Abstract: Single-cell multi-omics can provide a unique perspective on tumor cellular heterogeneity. Most previous single-cell whole-genome RNA sequencing (scWGS-RNA-seq) methods demonstrate utility with intact cells from fresh samples. Among them, many are not applicable to frozen…
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Keywords:
cell;
multi omics;
single cell;
scone seq ... See more keywords
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Published in 2022 at "Cancer Research"
DOI: 10.1158/1538-7445.evodyn22-ia008
Abstract: Somatic evolution is a novel emerging frontier in human biology, as cells within diverse normal and malignant tissues have been shown to diversify and undergo selection. We and others have shown that somatic evolution is…
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Keywords:
cell;
nature;
single cell;
cell multi ... See more keywords