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Titlebook: 7th International Conference on Practical Applications of Computational Biology & Bioinformatics; Mohd Saberi Mohamad,Loris Nanni,Florenti

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發(fā)表于 2025-3-21 18:56:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱7th International Conference on Practical Applications of Computational Biology & Bioinformatics
影響因子2023Mohd Saberi Mohamad,Loris Nanni,Florentino Fdez-Ri
視頻videohttp://file.papertrans.cn/102/101109/101109.mp4
發(fā)行地址Latest research on Practical Applications of Computational Biology & Bioinformatics.Results of the 7th International Conference on Practical Applications of Computational Biology & Bioinformatics PACB
學(xué)科分類(lèi)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: 7th International Conference on Practical Applications of Computational Biology & Bioinformatics;  Mohd Saberi Mohamad,Loris Nanni,Florenti
影響因子.The growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. The analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, Systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the intera
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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/012/image/101109.jpg
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https://doi.org/10.1007/978-981-15-1067-0owledge is a starting point in order to identify new and specific resistance genes by detecting similar expression patterns. Here we evaluate the usefulness of clustering and data-mining methods to group together known plant resistance genes based on expression profiles. We conduct clustering separa
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Nosheen Masood,Saima Shakil Maliken previously investigated in the reference human genome, but this sequence does not represent a proper sampling of the human population. With the 1000 genomes project, we have data from next-generation sequencing of different human individuals, constituting a sample of 1092 individuals. We explore
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Ramish Riaz,Shah Rukh Abbas,Maria Shabbirork joins a genetic algorithm for hierarchical clustering with a set of visual components of cluster tasks given by a tool. The cluster visualization tool allows us to display different views of clustering results as a means of cluster visual validation. The results of the genetic algorithm for clus
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50 Years of CFD in Engineering Sciencesortunately there are many models of genes already described in database with biological information..Linking coffee gene annotations transcriptome to centralized biology information systems as Bio2RDF, offers the possibility of finding associated transcriptome relationships between them and between
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Hukam C. Mongia,Kumud Ajmani,Chih-Jen Sungaspin has been shown to reduce cell migration, invasion, proliferation and angiogenesis, and increase apoptosis and adhesion. In this paper, we report the development of a mathematical model of the effects of maspin on cellular proliferation and migration. An artificial neural network has been used
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