Network aggregation improves gene function prediction of grapevine gene co-expression networks
نویسندگان
چکیده
منابع مشابه
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...
متن کاملImproving 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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The use of blasting cost (BC) prediction to achieve optimal fragmentation is necessary in order to control the adverse consequences of blasting such as fly rock, ground vibration, and air blast in open-pit mines. In this research work, BC is predicted through collecting 146 blasting data from six limestone mines in Iran using the artificial neural networks (ANNs), gene expression programming (G...
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ژورنال
عنوان ژورنال: Plant Molecular Biology
سال: 2020
ISSN: 0167-4412,1573-5028
DOI: 10.1007/s11103-020-01001-2