LUKAS SIMON to Sequence Analysis, RNA
This is a "connection" page, showing publications LUKAS SIMON has written about Sequence Analysis, RNA.
Connection Strength
0.481
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MitoTrace: A Computational Framework for Analyzing Mitochondrial Variation in Single-Cell RNA Sequencing Data. Genes (Basel). 2023 06 04; 14(6).
Score: 0.164
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DrivAER: Identification of driving transcriptional programs in single-cell RNA sequencing data. Gigascience. 2020 12 10; 9(12).
Score: 0.138
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Leveraging Integrated RNA Sequencing to Decipher Adrenomedullin's Protective Mechanisms in Experimental Bronchopulmonary Dysplasia. Genes (Basel). 2024 Jun 19; 15(6).
Score: 0.044
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deCS: A Tool for Systematic Cell Type Annotations of Single-cell RNA Sequencing Data among Human Tissues. Genomics Proteomics Bioinformatics. 2023 04; 21(2):370-384.
Score: 0.038
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Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning Approaches. Genes (Basel). 2021 04 24; 12(5).
Score: 0.035
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Charting Extracellular Transcriptomes in The Human Biofluid RNA Atlas. Cell Rep. 2020 12 29; 33(13):108552.
Score: 0.035
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A paradox of transcriptional and functional innate interferon responses of human intestinal enteroids to enteric virus infection. Proc Natl Acad Sci U S A. 2017 01 24; 114(4):E570-E579.
Score: 0.026