Showing 41 - 45 results of 45 for search '"gene regulatory network"', query time: 0.06s Refine Results
  1. 41

    dotears: Scalable and consistent directed acyclic graph estimation using observational and interventional data by Albert Xue, Jingyou Rao, Sriram Sankararaman, Harold Pimentel

    Published 2025-02-01
    “…Summary: New assays such as Perturb-seq link parallel CRISPR interventions to transcriptomic readouts, providing insight into gene regulatory networks. Causal regulatory networks can be represented by directed acyclic graphs (DAGs), but lack of identifiability and a combinatorial solution space complicate learning DAGs from observational data. …”
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  2. 42

    Integrated Analysis of microRNA Targets Reveals New Insights into Transcriptional–Post-Transcriptional Regulatory Cross-Talk by Simona Panni, Roberto Pizzolotto

    Published 2025-01-01
    “…It is becoming increasingly clear that microRNAs are key players in gene regulatory networks, modulating gene expression at post-transcriptional level. …”
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  3. 43

    The enigma of cancer polyploidy as deciphered by evolutionary cancer cell biology (ECCB) by Vladimir F. Niculescu, Eugenia R. Niculescu

    Published 2024-06-01
    “…The genes, gene modules, and gene regulatory networks (GRNs) of the premetazoic cell system are preserved in the ancestral genome compartment of metazoans and humans. …”
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  4. 44

    DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning by D. S. Azarova, N. A. Omelyanchuk, V. V. Mironova, E. V. Zemlyanskaya, V. V. Lavrekha

    Published 2023-12-01
    “…The resulting models represent a promising framework for further study of the role of hormone-controlled gene regulatory networks in cell dynamics.…”
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  5. 45

    Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation by Yu-An Huang, Yue-Chao Li, Zhu-Hong You, Lun Hu, Peng-Wei Hu, Lei Wang, Yuzhong Peng, Zhi-An Huang

    Published 2025-01-01
    “…Traditional annotation methods often fail to adequately address the complexity of cellular interactions and gene regulatory networks. Results We proposed scMCGraph, a comprehensive computational framework that integrates gene expression with pathway activity to accurately annotate cell types within diverse scRNA-seq datasets. …”
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