يعرض 1 - 10 نتائج من 5,379 نتيجة بحث عن '"Single Cell RNA-Seq"', وقت الاستعلام: 1.68s تنقيح النتائج
  1. 1
    مؤتمر
    Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel

    المؤلفون: Jiang, Kang, Liao, Bo., Papagerakis, Petros, Wu, Fang-Xiang

    المصدر: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :228-232 Dec, 2023

    Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  2. 2
    مؤتمر
    A deep graph convolution network with attention for clustering scRNA-seq data

    المؤلفون: Chen, Xiang, Yu, Junnan, Peng, Li, Li, Min

    المصدر: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :320-323 Dec, 2023

    Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  3. 3
    مؤتمر
    Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation

    المؤلفون: Liu, Yuhang, Li, Tianhao, Wang, Zixuan, Zhu, Guiquan, Zhang, Yongqing, Zou, Quan

    المصدر: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :580-585 Dec, 2023

    Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  4. 4
    مؤتمر
    A flexible gene regulatory network reconstruction method based on autoencoder and graph attention network

    المؤلفون: Zheng, Ruiqing, Zeng, Yanping, Zeng, Weixing, Li, Min

    المصدر: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :215-221 Dec, 2023

    Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  5. 5
    مؤتمر
    Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data

    المؤلفون: Zhang, L., Ren, Q., Kong, X., Liu, S., Shang, J., Li, F.

    المصدر: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :3241-3248 Dec, 2023

    Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  6. 6
    دورية أكاديمية
    Unraveling plant–microbe symbioses using single-cell and spatial transcriptomics

    المؤلفون: Serrano, Karen, Tedeschi, Francesca, Andersen, Stig U, Scheller, Henrik V

    مصطلحات موضوعية: Microbiology, Biological Sciences, Genetics, Human Genome, 1.1 Normal biological development and functioning, Generic health relevance, high-throughput sequencing, mycorrhizae, rhizobia, single-cell RNA-seq, spatial transcriptomics, symbiosis, Ecology, Plant Biology, Crop and Pasture Production, Plant Biology & Botany, Plant biology

    URL الوصول: https://escholarship.org/uc/item/9v26x238

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  7. 7
    دورية أكاديمية
    Single-cell signatures identify microenvironment factors in tumors associated with patient outcomes.

    المؤلفون: Xue, Yuanqing, Friedl, Verena, Ding, Hongxu, Wong, Christopher, Stuart, Joshua

    المصدر: Cell Reports: Methods. 4(6)

    مصطلحات موضوعية: CP: Cancer biology, CP: Systems biology, The Cancer Genome Atlas, cancer genomics, cancer systems biology, deconvolution, gene expression, single-cell RNA-seq, single-cell analysis, survival analysis, systems biology, tumor microenvironment, Humans, Tumor Microenvironment, Single-Cell Analysis, Neoplasms, Sequence Analysis, RNA, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Cluster Analysis

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/515831xk
    https://escholarship.org/content/qt515831xk/qt515831xk.pdf

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  8. 8
    دورية أكاديمية
    A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection

    المؤلفون: Zhang, D., Gao, Y., Zhao, J., Zheng, C., Liu, J.

    المصدر: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 35(2):2473-2483 Feb, 2024

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  9. 9
    Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration

    المؤلفون: Fan, Yue, Bian, Xuzhao, Meng, Xiaogao, Li, Lei, Fu, Laiyi, Zhang, Yanan, Wang, Long, Zhang, Yan, Gao, Dalong, Guo, Xiong, Lammi, Mikko, 1961, Peng, Guangdun, Sun, Shiquan

    المصدر: Annals of the Rheumatic Diseases. 83(7):926-944

    مصطلحات موضوعية: chondrocytes, inflammation, osteoarthritis, knee, single cell RNA-seq, Biochemistry, biokemi, cellforskning, cell research, medicinsk biokemi, Medical Biochemistry, Medical Cell Biology, medicinsk cellbiologi, Orthopaedics, ortopedi, reumatologi, rheumatology

    وصف الملف: electronic

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-221149
    https://doi.org/10.1136/ard-2023-224420
    https://umu.diva-portal.org/smash/get/diva2:1839006/FULLTEXT02.pdf

    Find this article in full text from ProQuest
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  10. 10
    دورية أكاديمية
    Investigating the basis of lineage decisions and developmental trajectories in the dorsal spinal cord through pseudotime analyses.

    المؤلفون: Gupta, Sandeep, Heinrichs, Eric, Novitch, Bennett G, Butler, Samantha J

    المصدر: Development. 151(10)

    مصطلحات موضوعية: Biological Sciences, Biomedical and Clinical Sciences, Neurosciences, Genetics, Neurodegenerative, Stem Cell Research, Chronic Pain, Pain Research, Underpinning research, 1.1 Normal biological development and functioning, Neurological, Animals, Mice, Spinal Cord, Cell Lineage, Interneurons, Cell Differentiation, Gene Expression Regulation, Developmental, Single-Cell Analysis, Mouse Embryonic Stem Cells, RNA-Seq, Cell fate, Dorsal spinal cord, Pseudotime, Sensory interneurons, Single-cell RNA-Seq analysis, Stem cells, Medical and Health Sciences, Biological sciences, Biomedical and clinical sciences, Health sciences

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/9ff990dx
    https://escholarship.org/content/qt9ff990dx/qt9ff990dx.pdf

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