THE HANDBOOK OF STATISTICAL GENOMICS : Quantitative Methods, Computational Frameworks, and Applications in Modern Genetic Research.
Language: English
Published by Independently Published Mai 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 238.74
Quantity: 2 available
Add to basketItem description from seller
Neuware - Genomic data doesn't interpret itself - and the researchers who master the statistics behind it are the ones driving discovery.The Handbook of Statistical Genomics is the comprehensive quantitative reference for biostatisticians, computational biologists, geneticists, and data scientists operating in an era defined by whole-genome sequencing, population-scale biobanks, and multi-omics integration. This is the methodological backbone your research has been missing.What You'll Master: - Probability frameworks, linkage analysis, and population stratification correction for genetic association studies- GWAS design, quality control pipelines, and polygenic risk score construction- Bayesian approaches to variant interpretation and rare variant analysis- Epistasis modeling, haplotype reconstruction, and admixed population genomics- Machine learning and deep learning architectures applied to sequence and omics data- Dimensionality reduction strategies for high-dimensional genomic datasets- Reproducible bioinformatics pipelines using PLINK, GATK, BOLT-LMM, and R/Bioconductor- Cutting-edge chapters on single-cell genomics statistics, spatial transcriptomics, and EHR-genomic integrationEvery method is presented with an emphasis on reproducibility, transparency, and real-world application - so what you learn here translates directly into publication-quality research.The most rigorous genomic research starts with the most rigorous statistical foundation.Secure your copy today and bring the quantitative precision your genomics work deserves.…
Seller Inventory # 9798199448093
- Title
- THE HANDBOOK OF STATISTICAL GENOMICS : Quantitative Methods, Computational Frameworks, and Applications in Modern Genetic Research.
- Author
- Aaron J. Clark
- Publisher
- Independently Published Mai 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798199448093
- Item weight
- 965 grams
- Dimensions
- 279x216x22 mm
The Handbook of Statistical Genomics is the comprehensive quantitative reference for biostatisticians, computational biologists, geneticists, and data scientists operating in an era defined by whole-genome sequencing, population-scale biobanks, and multi-omics integration. This is the methodological backbone your research has been missing.
What You'll Master:
- Probability frameworks, linkage analysis, and population stratification correction for genetic association studies
- GWAS design, quality control pipelines, and polygenic risk score construction
- Bayesian approaches to variant interpretation and rare variant analysis
- Epistasis modeling, haplotype reconstruction, and admixed population genomics
- Machine learning and deep learning architectures applied to sequence and omics data
- Dimensionality reduction strategies for high-dimensional genomic datasets
- Reproducible bioinformatics pipelines using PLINK, GATK, BOLT-LMM, and R/Bioconductor
- Cutting-edge chapters on single-cell genomics statistics, spatial transcriptomics, and EHR-genomic integration
The most rigorous genomic research starts with the most rigorous statistical foundation.
Secure your copy today and bring the quantitative precision your genomics work deserves.
"Synopsis" may belong to another edition of this title.
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