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Titlebook: Cancer Bioinformatics; Alexander Krasnitz Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019 cancer informatics.

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发表于 2025-3-21 19:29:22 | 显示全部楼层 |阅读模式
书目名称Cancer Bioinformatics
编辑Alexander Krasnitz
视频video
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contain key notes and implementation advice from the experts
丛书名称Methods in Molecular Biology
图书封面Titlebook: Cancer Bioinformatics;  Alexander Krasnitz Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019 cancer informatics.
描述.This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active researchers in computational biology and bioinformatics developers, clinical oncologists, and anti-cancer drug developers wishing to rationalize their search for new compounds. Written in the highly successful .Methods in Molecular Biology. series format, chapters include introductions to their respective topics, installation instructions for computational tools discussed, explanations of the input and output formats, and illustrative examples of applications...Authoritative and cutting-edge, .Cancer Bioinformatics: Methods and Protocols. aims to support researchers performing computational analysis of cancer-related data..
出版日期Book 2019
关键词cancer informatics; Cancer Genomes; CORE; Tumor Clonality; Drug Repositioning; Tumor Subtypes
版次1
doihttps://doi.org/10.1007/978-1-4939-8868-6
isbn_softcover978-1-4939-9404-5
isbn_ebook978-1-4939-8868-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2019
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CORE: A Software Tool for Delineating Regions of Recurrent DNA Copy Number Alteration in Cancer,ften represent regions with altered DNA copy number, and their collections exhibit recurrent features, characteristic of a given cancer type. Cores of Recurrent Events (CORE) is a versatile computational tool for identification of such recurrent features. Here we provide practical guidance for the use of CORE, implemented as an eponymous R package.
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1064-3745 ed, explanations of the input and output formats, and illustrative examples of applications...Authoritative and cutting-edge, .Cancer Bioinformatics: Methods and Protocols. aims to support researchers performing computational analysis of cancer-related data..978-1-4939-9404-5978-1-4939-8868-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
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In Silico Oncology Drug Repositioning and Polypharmacology,tocols are appropriate for target-centric drug repositioning to various complex diseases, but expertise is still necessary to perform the specific oncology projects based on the cancer targets of interest.
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Heinz Böker,Peter Hartwich,Georg Northoffhe best-suited mathematical function to describe tumor growth for experimental xenograft mouse tumor models and how to parametrize them. Common pitfalls and problems are described as well as methods to avoid them.
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