Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model

Jia Meng, Hung I. Chen, Jianqiu Zhang, Yidong Chen, Yufei Huang

    Producción científica: Conference contribution

    6 Citas (Scopus)

    Resumen

    Transcriptional regulation by transcription factors (TFs) and microRNAs controls when and how much RNA is created. Due to technical limitations, the protein level expressions of TFs are usually unknown, making computational reconstruction of transcriptional network a difficult task. We proposed here a novel Bayesian nonnegative hybrid factor model for transcriptional network modeling, which is capable to estimate both the non-negative abundances of the transcription factors, the regulatory effects of TFs and microRNAs, and the sample clustering information by integrating microarray data and existing knowledge regarding TFs and microRNAs regulated target genes. The results demonstrated its validity and effectiveness to reconstructing transcriptional networks through simulated systems and real data.

    Idioma originalEnglish (US)
    Título de la publicación alojada2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
    Páginas6012-6015
    Número de páginas4
    DOI
    EstadoPublished - 2011
    Evento36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
    Duración: may 22 2011may 27 2011

    Serie de la publicación

    NombreICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    ISSN (versión impresa)1520-6149

    Other

    Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
    País/TerritorioCzech Republic
    CiudadPrague
    Período5/22/115/27/11

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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