Bioinformatics Methods: From Omics to Next Generation Sequencing

Lin, Shili, Scholtens, Denise, Datta, Sujay

Bioinformatics Methods: From Omics to Next Generation Sequencing
  • 出版商: CRC
  • 出版日期: 2022-09-16
  • 售價: $4,140
  • 貴賓價: 9.5 折 $3,933
  • 語言: 英文
  • 頁數: 336
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1498765157
  • ISBN-13: 9781498765152
  • 相關分類: 生物資訊 Bioinformatics

    • 海外代購書籍(需單獨結帳)

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商品描述

The past three decades have witnessed an explosion of what is now referred to as high-dimensional omics' data. Bioinformatics Methods: From Omics to Next Generation Sequencing describes the statistical methods and analytic frameworks that are best equipped to interpret these complex data and how they apply to health-related research. Covering the technologies that generate data, subtleties of various data types, and statistical underpinnings of methods, this book identifies a suite of potential analytic tools, and highlights commonalities among statistical methods that have been developed.

An ideal reference for biostatisticians and data analysts that work in collaboration with scientists and clinical investigators looking to ensure rigorous application of available methodologies.

Key Features:

  • Survey of a variety of omics data types and their unique features
  • Summary of statistical underpinnings for widely used omics data analysis methods
  • Description of software resources for performing omics data analyses

商品描述(中文翻譯)

過去三十年間，高維度「組學」數據的爆炸式增長引起了廣泛關注。《生物信息學方法：從組學到下一代测序》描述了最適合解釋這些複雜數據並應用於健康相關研究的統計方法和分析框架。本書涵蓋了生成數據的技術、各種數據類型的細微差異以及方法的統計基礎，並確定了一套潛在的分析工具，並突出了已開發的統計方法之間的共同點。

這是一本理想的參考書，適用於與科學家和臨床研究者合作，以確保嚴謹應用現有方法的生物統計學家和數據分析師。

主要特點：
- 概述各種組學數據類型及其獨特特徵
- 總結廣泛使用的組學數據分析方法的統計基礎
- 描述執行組學數據分析的軟件資源

作者簡介

Shili Lin, PhD is a Professor in the Department of Statistics and a faculty member in the Translational Data Analytics Institute at the Ohio State University. Her research interests are in statistical methodologies for high-dimensional and big data, with a focus on their applications in biomedical research, statistical genetics and genomics, and integration of multiple omics data.

Denise Scholtens, PhD is Professor and Chief of the Division of Biostatistics in the Department of Preventive Medicine at Northwestern University Feinberg School of Medicine. She is interested in the design and conduct of large-scale multi-center prospective health research studies, and in the integration of high-dimensional omics data analyses into these settings.

Sujay Datta, PhD is an Associate Professor and the Graduate Program Coordinator in the Department of Statistics at the University of Akron. His research interests include statistical analyses of high-dimensional and high-throughput data, graphical and network-based models, statistical models and methods for cancer data, as well as sequential/multistage sampling designs.

作者簡介(中文翻譯)

Shili Lin, PhD 是俄亥俄州立大學統計學系的教授，也是轉譯數據分析學院的教職成員。她的研究興趣在於高維度和大數據的統計方法，尤其關注其在生物醫學研究、統計遺傳學和基因組學以及多種組學數據的整合中的應用。

Denise Scholtens, PhD 是西北大學芬伯格醫學院預防醫學系生物統計學部門的教授和主任。她對大規模多中心前瞻性健康研究的設計和執行感興趣，並致力於將高維度組學數據分析整合到這些研究中。

Sujay Datta, PhD 是阿克倫大學統計學系的副教授和研究生計劃協調員。他的研究興趣包括高維度和高通量數據的統計分析、圖形和基於網絡的模型、癌症數據的統計模型和方法，以及序列/多階段抽樣設計。

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