Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?

Improving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach

Introduction: The major issue for the future of bioinformatics is the design of tools to determine the functions and all products of single-cell genes. This requires the integration of different biological disciplines as well as sophisticated mathematical and statistical tools. This study revealed that data mining techniques can be used to develop models for diagnosing high-risk or low-risk lif...

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Improving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach

Introduction: The major issue for the future of bioinformatics is the design of tools to determine the functions and all products of single-cell genes. This requires the integration of different biological disciplines as well as sophisticated mathematical and statistical tools. This study revealed that data mining techniques can be used to develop models for diagnosing high-risk or low-risk lif...

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Large-scale inference and graph-theoretical analysis of gene-regulatory networks in B. Subtilis

We present the methods and results of a two-stage modeling process that generates candidate gene-regulatory networks of the bacterium B.subtilis from experimentally obtained, yet mathematically underdetermined microchip array data. By employing a computational, linear correlative procedure to generate these networks, and by analyzing the networks from a graph theoretical perspective, we are abl...

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Large-scale inference and graph theoretical analysis of gene-regulatory networks in B. stubtilis

We present the methods and results of a two-stage modeling process that generates candidate gene-regulatory networks of the bacterium B.subtilis from experimentally obtained, yet mathematically underdetermined microchip array data. By employing a computational, linear correlative procedure to generate these networks, and by analyzing the networks from a graph theoretical perspective, we are abl...

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Inference of Gene Regulatory Networks from Large Scale Gene Expression Data

With the advent of the age of genomics, an increasing number of genes have been identified and their functions documented. However, not as much is known of specific regulatory relations among genes (e.g. gene A up-regulates gene B). At the same time, there is an increasing number of large-scale gene expression datasets, in which the mRNA transcript levels of tens of thousands of genes are measu...

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Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?

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منابع مشابه

Improving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach

Improving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach

Large-scale inference and graph-theoretical analysis of gene-regulatory networks in B. Subtilis

Large-scale inference and graph theoretical analysis of gene-regulatory networks in B. stubtilis

Inference of Gene Regulatory Networks from Large Scale Gene Expression Data

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