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Foundations for High-Throughput Omics Data Analysis

Methods, Theories and Applications
Buch | Hardcover
400 Seiten
2023
Productivity Press (Verlag)
978-1-4987-0650-6 (ISBN)
95,95 inkl. MwSt
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.

George C. Tseng is an associate professor in the Department of Biostatistics at the University of Pittsburgh, Pennsylvania, USA Zhiguang Huo and Tianzhu Ma are PhD students at the University of Pittsburgh, Pennsylvania, USA

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.

Erscheinungsdatum
Reihe/Serie Chapman & Hall/CRC Biostatistics Series
Verlagsort Portland
Sprache englisch
Maße 156 x 234 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Naturwissenschaften Biologie
ISBN-10 1-4987-0650-9 / 1498706509
ISBN-13 978-1-4987-0650-6 / 9781498706506
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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