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Titlebook: Microarray Data Analysis; Methods and Applicat Pietro Hiram Guzzi Book 2016Latest edition Springer Science+Business Media, LLC, part of Spr

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发表于 2025-3-21 16:27:39 | 显示全部楼层 |阅读模式
书目名称Microarray Data Analysis
副标题Methods and Applicat
编辑Pietro Hiram Guzzi
视频video
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
丛书名称Methods in Molecular Biology
图书封面Titlebook: Microarray Data Analysis; Methods and Applicat Pietro Hiram Guzzi Book 2016Latest edition Springer Science+Business Media, LLC, part of Spr
描述.This volume covers a large area, from the description of methodologies for data analysis to the real application. Chapters focus on methodologies for preprocessing of microarray data, a survey of miRNA Data analysis, Cloud-based approaches, application of data mining techniques for data analysis, biclustering to query different datasets, web-based tool to analyze the evolution of miRNA clusters, application of biclustering to mine patterns of co-regulated genes ontologies, microarray and proteomic Data, Gene Regulatory Network Inference, Gene Regulatory Network methods, analysis of Mouse data for metabolomics studies, analysis of microRNA data in Multiple Myeloma, microarray data analysis in Gliobastomas, and microRNA data in Cardiogenesis.Written for the .Methods in Molecular Biology. series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls..Authoritative and practical, .Microarray Data Analysis: Methods and Applications, Second Edition. aims to ensure successful results in the further study of this vital field..
出版日期Book 2016Latest edition
关键词Cloud-based approaches; Multiple Myeloma; co-regulated genes; metabolomics; miRNA Data; miRNA clusters; mi
版次2
doihttps://doi.org/10.1007/978-1-4939-3173-6
isbn_softcover978-1-4939-7993-6
isbn_ebook978-1-4939-3173-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2016
The information of publication is updating

书目名称Microarray Data Analysis影响因子(影响力)




书目名称Microarray Data Analysis影响因子(影响力)学科排名




书目名称Microarray Data Analysis网络公开度




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书目名称Microarray Data Analysis被引频次学科排名




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书目名称Microarray Data Analysis年度引用学科排名




书目名称Microarray Data Analysis读者反馈




书目名称Microarray Data Analysis读者反馈学科排名




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Microarray Data Analysis978-1-4939-3173-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
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https://doi.org/10.1007/978-1-4939-3173-6Cloud-based approaches; Multiple Myeloma; co-regulated genes; metabolomics; miRNA Data; miRNA clusters; mi
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Normalization of Affymetrix miRNA Microarrays for the Analysis of Cancer Samples,ortant when dealing with cancer samples that have a global miRNA decrease. In this chapter, we provide a simple step-by-step procedure that can be used to normalize Affymetrix miRNA microarrays, relying on robust normal-exponential background correction with cyclic loess normalization.
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Di Wu,Michael P. Gantieran ecclesial “counter-politics” in which the Church does politics simply by being the Church, that is, by living out its own social principles and offering itself up as a public witness to a superior manner of social life than the one offered by liberal democracy. To conflate Christian politics with
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Barbara Calabrese,Mario Cannataroa, Protestant biblical scholar Lynn de Silva proposed the Kingdom of God as a way to integrate Buddhist and Christian perspectives into a united vision of human fulfillment: “In the idea of the Kingdom of God, I suggest, we have an answer to the Buddhist quest for self-negation as well as for a form
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