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Foundations for High-Throughput Omics Data Analysis
Productivity Press (Verlag)
978-1-4987-0650-6 (ISBN)
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 | 30.08.2023 |
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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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