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Times Cited: 650
Times Cited: 650
Times Cited
Times Co-cited
Similarity
Multiplexed quantification of proteins and transcripts in single cells.
Vanessa M Peterson, Kelvin Xi Zhang, Namit Kumar, Jerelyn Wong, Lixia Li, Douglas C Wilson, Renee Moore, Terrill K McClanahan, Svetlana Sadekova, Joel A Klappenbach. Nat Biotechnol 2017
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Comprehensive Integration of Single-Cell Data.
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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
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Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.
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Integrating single-cell transcriptomic data across different conditions, technologies, and species.
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Massively parallel digital transcriptional profiling of single cells.
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Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics.
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A comparison of single-cell trajectory inference methods.
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Eleven grand challenges in single-cell data science.
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Single-cell chromatin accessibility reveals principles of regulatory variation.
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Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity.
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Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity.
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Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer.
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Single-cell RNA counting at allele and isoform resolution using Smart-seq3.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.