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Titlebook: 10th International Conference on Practical Applications of Computational Biology & Bioinformatics; Mohd Saberi Mohamad,Miguel P. Rocha,Jua

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发表于 2025-3-21 18:35:25 | 显示全部楼层 |阅读模式
期刊全称10th International Conference on Practical Applications of Computational Biology & Bioinformatics
影响因子2023Mohd Saberi Mohamad,Miguel P. Rocha,Juan F. De Paz
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发行地址Latest research on Practical Applications of Computational Biology & Bioinformatics.Results of the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics hel
学科分类Advances in Intelligent Systems and Computing
图书封面Titlebook: 10th International Conference on Practical Applications of Computational Biology & Bioinformatics;  Mohd Saberi Mohamad,Miguel P. Rocha,Jua
影响因子.Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, 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 thathave a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation
Pindex Conference proceedings 2016
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Depth and Emergence Construction,ML models. The implementation was supported in open-source software, such as ., ., . or .. Several manually annotated corpora were used in the validation of BioTML. The results are promising, while there is room for improvement.
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Cuddling and Spooning Other Men replicates. Machine learning for classification of differential expression based on the benchmark dataset indicates the existence of even more accurate methods for identification of differential expression. With this dataset, it can be also demonstrated that the methods prediction of false discover
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