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Titlebook: Bioinformatics Methods in Clinical Research; Rune Matthiesen Book 2010 Humana Press 2010 Annotation.An?sthesie-Informations-Management-Sys

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發(fā)表于 2025-3-21 16:41:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bioinformatics Methods in Clinical Research
影響因子2023Rune Matthiesen
視頻videohttp://file.papertrans.cn/188/187157/187157.mp4
發(fā)行地址Fully updated overview on machine learning techniques applied to biological problems.Includes detailed information about current standards for a number of clinical diseases.Presents details on data an
學(xué)科分類Methods in Molecular Biology
圖書封面Titlebook: Bioinformatics Methods in Clinical Research;  Rune Matthiesen Book 2010 Humana Press 2010 Annotation.An?sthesie-Informations-Management-Sys
影響因子.Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen. In .Bioinformatics Methods in Clinical Research, .experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools. Chapters discuss statistics, algorithms, automated methods of data retrieval, and experimental consideration in genomics, transcriptomics, proteomics, and metabolomics. Composed in the highly successful .Methods in Molecular Biology?. series format, each chapter contains a brief introduction, provides practical examples illustrating methods, results, and conclusions from data mining strategies wherever possible, and includes a Notes section which shares tips on troubleshooting and avoiding known pitfalls...Informative and ground-breaking, .Bioinformatics Methods in Clinical Research. establishes a much-needed bridge between theory and practice, making it an indispensable resourc
Pindex Book 2010
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Roland Bach,Hermann Josef Schieffer enriched TFBSs in the proximal promoter of differentially expressed genes. The functional and bibliographic interpretation of the results improves our biological insight into the regulatory mechanisms involved in a microarray experiment.
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Analysis of Biological Processes and Diseases Using Text Mining Approaches,mutations, SNPs, and epigenetic information (methylation) are described. We provide an overview of disease-centric and gene-centric literature mining methods for linking genes to phenotypic and genotypic aspects. Moreover, we discuss recent efforts for finding biomarkers through text mining and for
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