Foundations for High-Throughput Omics Data Analysis
Foundations for High-Throughput Omics Data Analysis
Methods, Theories and Applications
Tseng, George C.; Ma, Tianzhou; Huo, Zhiguang
Taylor & Francis Inc
08/2023
400
Dura
Inglês
9781498706506
15 a 20 dias
Descrição não disponível.
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.
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bioinformatics;statistical genomics;computational biology;omics;biotechnology
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.