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Titlebook: Computational Systems Biology; Methods and Protocol Tao Huang Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018

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Book 2018ls and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls..Authoritative and cutting-edge, .Computational Systems Biology: Methods and Protocols .aims to ensuresuccessful results in the further study of this vital field. .
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1064-3745 ation advice from the experts.This volume introduces the reader to the latest experimental and bioinformatics methods for DNA sequencing, RNA sequencing, cell-free tumour DNA sequencing, single cell sequencing, single-cell proteomics and metabolomics. Chapters detail advanced analysis methods, such
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Sustained Simulation Performance 2021 ctDNA is mostly used for cancer patients to select targeted drugs in clinical application. In addition, ctDNA could also be applied to monitor tumor progression and recurrence. In conclusion, ctDNA is a very promising tumor biomarker for diagnosis and monitoring, which would increasingly become a routine clinical application in recent years.
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https://doi.org/10.1007/978-981-99-9714-5sychiatric disorders. The standard strategy of population-based case-control studies for GWAS is illustrated in this chapter. We provide an overview of the concepts underlying GWAS, as well as provide guidelines for statistical methods performed in GWAS.
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https://doi.org/10.1007/978-1-349-21091-6e of DNA-binding proteins, and the merits and limitations of these methods are mainly discussed. This chapter focuses on the structure-based approaches and mainly discusses the framework of machine learning methods in application to DNA-binding prediction task.
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The Introduction and Clinical Application of Cell-Free Tumor DNA, ctDNA is mostly used for cancer patients to select targeted drugs in clinical application. In addition, ctDNA could also be applied to monitor tumor progression and recurrence. In conclusion, ctDNA is a very promising tumor biomarker for diagnosis and monitoring, which would increasingly become a routine clinical application in recent years.
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