Basics of modern statistical genetics /
edited by Linda Lait.
- Oakville, Ontario : Arcler Press, c2018.
- xxv, 263 pages : color illustrations
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
Includes index.
Chapter 1: Statistical Power of Model Selection Strategies for Genome-Wide Association Studies
Chapter 2: Population Structure and Eigenanalysis
Chapter 3: Statistical Modelling of Transcript Profiles of Differentially Regulated Genes
Chapter 4: Lessons from Dwraft8 on the Strengths and Weaknesses of Structured Association Mapping
Chapter 5: From QTL to QTN: Candidate Gene Set Approach And a Case Study in Porcine IGF1-Foxo Pathway
Chapter 6: Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data
Chapter 7: Bias Characterization in Probabilistic Genotype Data and Improved Signal Signal Detection with Multiple Imputation
Chapter 8: Genome-Wide Search for Mirna-Target Interactions in Arabidopsis Thaliana With an Integrated Approach
Chapter 9: Identification of Differentially Expressed Genes from Microarray Data
Chapter 10: Genetic Epidemiological Studies of Infectious Disease
Chapter 11: Softwares and Methods for Estimating Genetic Ancestry in Human Population
Chapter 12: Heritability from Genome-Wide Identity-By-Descent Sharing Between Full Siblings
Chapter 13: Locating Disease Genes Using Bayesian Variable Selection With the Haseman-Elston Method
Chapter 14: Network Analysis of Genome-Wide Selective Constraint Reveals a Gene Network Active in Early Fetal Brain Intolerant of Mutation
Chapter 15: A Novel Method to Discover Flouroquinolone Antibiotic Resistance (QNR) Genes in Fragmented Nucleotide Sequences
Chapter 16: Integrative Analysis of Functional Genomic Annotations and Sequencing Data to Identify Rare Casual Variants Via Hierarchical Modelling
Chapter 17: Genome Sequencing
Chapter 18: Identification of Novel Candidate Genes for Early-Onset Colorectal Cancer Susceptibility
Chapter 19: Mutations in Mab21I2 Result in Ocular Coloboma, Microcornea and Cataracts
Statistical genetics is a scientific field concerned with the development and application of statistical methods for drawing inferences from genetic data. This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics.
In English text.
9781984609281 (e-book)
Human genetics.--Statistical methods.
Genetics.--Statistical method.
Biometry.
EBOP QH 938.4.S73 / B37 2018
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
Includes index.
Chapter 1: Statistical Power of Model Selection Strategies for Genome-Wide Association Studies
Chapter 2: Population Structure and Eigenanalysis
Chapter 3: Statistical Modelling of Transcript Profiles of Differentially Regulated Genes
Chapter 4: Lessons from Dwraft8 on the Strengths and Weaknesses of Structured Association Mapping
Chapter 5: From QTL to QTN: Candidate Gene Set Approach And a Case Study in Porcine IGF1-Foxo Pathway
Chapter 6: Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data
Chapter 7: Bias Characterization in Probabilistic Genotype Data and Improved Signal Signal Detection with Multiple Imputation
Chapter 8: Genome-Wide Search for Mirna-Target Interactions in Arabidopsis Thaliana With an Integrated Approach
Chapter 9: Identification of Differentially Expressed Genes from Microarray Data
Chapter 10: Genetic Epidemiological Studies of Infectious Disease
Chapter 11: Softwares and Methods for Estimating Genetic Ancestry in Human Population
Chapter 12: Heritability from Genome-Wide Identity-By-Descent Sharing Between Full Siblings
Chapter 13: Locating Disease Genes Using Bayesian Variable Selection With the Haseman-Elston Method
Chapter 14: Network Analysis of Genome-Wide Selective Constraint Reveals a Gene Network Active in Early Fetal Brain Intolerant of Mutation
Chapter 15: A Novel Method to Discover Flouroquinolone Antibiotic Resistance (QNR) Genes in Fragmented Nucleotide Sequences
Chapter 16: Integrative Analysis of Functional Genomic Annotations and Sequencing Data to Identify Rare Casual Variants Via Hierarchical Modelling
Chapter 17: Genome Sequencing
Chapter 18: Identification of Novel Candidate Genes for Early-Onset Colorectal Cancer Susceptibility
Chapter 19: Mutations in Mab21I2 Result in Ocular Coloboma, Microcornea and Cataracts
Statistical genetics is a scientific field concerned with the development and application of statistical methods for drawing inferences from genetic data. This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics.
In English text.
9781984609281 (e-book)
Human genetics.--Statistical methods.
Genetics.--Statistical method.
Biometry.
EBOP QH 938.4.S73 / B37 2018