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Produktbild: Big Data Analytics in Biostatistics and Bioinformatics

Big Data Analytics in Biostatistics and Bioinformatics

Aus der Reihe ICSA Book Series in Statistics

176,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.04.2026

Abbildungen

XVIII, 31 illus., 15 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Yichuan Zhao + weitere

Verlag

Springer

Seitenzahl

489

Maße (L/B/H)

24,1/16/3,3 cm

Gewicht

920 g

Sprache

Englisch

ISBN

978-3-032-06648-0

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.04.2026

Abbildungen

XVIII, 31 illus., 15 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

489

Maße (L/B/H)

24,1/16/3,3 cm

Gewicht

920 g

Sprache

Englisch

ISBN

978-3-032-06648-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Big Data Analytics in Biostatistics and Bioinformatics

  • Part I:  An Overview of Big Data Analytics in Biostatistics and Bioinformatics.- Chapter 1 Big Data Analytics in Biostatistics and Bioinformatics: The Past, The Present and The Future.- Chapter 2 Navigating Sample Size Dilemmas in ML-based Predictive Analytics: A Comprehensive Review.- Chapter 3 Moving Beyond Mean: Harnessing Big Data for Health Insights by Quantile Regression.- Chapter 4.  Incorrect Model Selection Using R2 and Akaike Information Criterion in Big Data Analyses.- Chapter 5 False Discovery Control in Multiple Testing: A Brief Overview of  Theories and Methodologies.-  Part II: Statistical Methods of Bayesian Analysis  and  Gene  Expression Data.- Chapter 6    Investigating and Assessing Diverse Strategies and Classification Techniques Applied in the Integration of Multi-Omics Data.- Chapter 7 Sparse Bayesian Clustering of Matrix Data.- Chapter 8  Bayesian Kernel Based Modeling and Selection of Genetic Pathways and Genes in Cancer Studies: A Step Toward Targeted Treatment Protocols.- Chapter 9   Using Guided Regularized Random Forests to Identify Important Biological Pathways and Genes.- Chapter 10    Ultrahigh-Dimensional Discriminant Analysis and Its Application to Gene Expression Data.- Part III:   Deep Learning  and Neural Network.- Chapter 11   Deep Image-on-scalar Regression Model with Hidden Confounders.- Chapter 12  Transfer Learning for Causal Effect Estimation.- Chapter 13    Hybrid Distance for Classification of Complex Biological Data Based on Elastic Shape Analysis of Curves and Topological Data Analysis of Point Clouds.- Chapter 14 Bifurcation Analysis of an Analog Hopfield Neural Network with Three Time Delays.- Chapter 15   Advancing Information Integration through Empirical Likelihood: Selective Reviews and a New Idea.- Part IV:   Clinical Trials and Survival Analysis.-  Chapter 16  Hierarchical Semi-parametric Bayesian Modeling in Patient Screening and Enrollment Dynamic Prediction for Multicenter Clinical Trials.- Chapter 17   Comparative Effectiveness Analysis of Lobectomy and Limited Resection for Elderly Non-Small Cell Lung Cancer Patients via Emulation.- Chapter 18  Recent Developments in Joint Modeling for Recurrent Gap Times with a Terminal Event.- Chapter 19 A Conditional Modelling Approach for Dynamic Risk Prediction of a Survival Outcome Using Longitudinal Biomarkers with an Application to Ovarian Cancer.