CHENGHANG ZONG to Gene Expression Profiling
This is a "connection" page, showing publications CHENGHANG ZONG has written about Gene Expression Profiling.
Connection Strength
1.887
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Reply to: Methodological concerns and lack of evidence for single-synapse RNA-seq. Nat Biotechnol. 2023 09; 41(9):1225-1228.
Score: 0.494
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Single-Cell RNA-Seq by Multiple Annealing and Tailing-Based Quantitative Single-Cell RNA-Seq (MATQ-Seq). Methods Mol Biol. 2019; 1979:57-71.
Score: 0.360
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Single-cell RNA-seq study determines the ontogeny of macrophages in glioblastomas. Genome Biol. 2017 Dec 21; 18(1):235.
Score: 0.335
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Effective detection of variation in single-cell transcriptomes using MATQ-seq. Nat Methods. 2017 03; 14(3):267-270.
Score: 0.314
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Single-cell total-RNA profiling unveils regulatory hubs of transcription factors. Nat Commun. 2024 Jul 15; 15(1):5941.
Score: 0.132
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Droplet-based transcriptome profiling of individual synapses. Nat Biotechnol. 2023 09; 41(9):1332-1344.
Score: 0.119
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Single-cell damagenome profiling unveils vulnerable genes and functional pathways in human genome toward DNA damage. Sci Adv. 2021 07; 7(27).
Score: 0.107
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Contextual cues from cancer cells govern cancer-associated fibroblast heterogeneity. Cell Rep. 2021 04 20; 35(3):109009.
Score: 0.026