Foundations for High-Throughput Omics Data Analysis : Methods, Theories and Applications (Chapman & Hall/crc Biostatistics Series)

Tseng, George C./ Huo, Zhiguang/ Ma, Tianzhou

Productivity Press（2023/08発売）

• 製本 Hardcover:ハードカバー版／ページ数 400 p.
• 言語 ENG
• 商品コード 9781498706506
• DDC分類 570.72

Full Description

The aim of this textbook is to train new researchers in analyzing high-throughput omics data by building fundamental skills instead of focusing on technology or platform-specific features that change every few years. The authors seek a balance between breadth and depth in the broad field. The book contains many real examples to illustrate the methodological concept and biological relevance. Computer lab materials (data and hands-on programming code) are included along with homework exercises to provide real-world data analysis experiences.

Contents

High-Throughput Omics Data. Experimental Design and Data Preprocessing. Differential and Association Analysis. Dimension Reduction. Robust Nonparametric Methods. Unsupervised Machine Learning and Clustering. Supervised Machine Learning I: Methods. Supervised Machine Learning II: Concept and Principles. Regularization Method. Bayesian Methods and Applications. Network Analysis. Enrichment Analysis. Meta-Analysis and Integrative Analysis. Selected Computational Algorithms. Reproducible Research and Critical Thinking in Bioinformatics. Appendix: Case Studies.