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Gene regulatory network inference from perturbed time-series expression data via ordered dynamical expansion of non-steady state actors

bioRxiv

Sep 29, 2014

Mahdi ZamanighomiZhengdao Wang

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Abstract

The reconstruction of gene regulatory networks from gene expression data has been the subject of intense research activity. A variety of models and methods have been developed to address different aspects of this important problem. However, these techniques are often difficult to scale,...read more

Mentioned in this Paper

Gene Expression
Biophysics
Chemicals
Simulation
Gene Interaction
Genes, Regulator
High-Throughput RNA Sequencing
Research
Genes
Reconstructive Surgical Procedures
11
16
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  • Gene regulatory network inference from perturbed time-series expression data via ordered dynamical expansion of non-steady state actors

    bioRxiv

    Sep 29, 2014

    Mahdi ZamanighomiZhengdao Wang

    PMID: 990007906

    DOI: 10.1101/007906

    Abstract

    The reconstruction of gene regulatory networks from gene expression data has been the subject of intense research activity. A variety of models and methods have been developed to address different aspects of this important problem. However, these techniques are often difficult to scale,...read more

    Mentioned in this Paper

    Gene Expression
    Biophysics
    Chemicals
    Simulation
    Gene Interaction
    11
    16

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