Certificate Biostatistics for Genomics
-- ViewingNowThe Certificate Biostatistics for Genomics is a comprehensive course designed to equip learners with essential skills in applying statistical methods to genomic data. This course is crucial in today's bioinformatics industry, where the demand for professionals with a strong foundation in biostatistics is high.
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โข Introduction to Biostatistics: Basic concepts and principles, data description and exploration, probability theory, and distributions.
โข Genomics Fundamentals: Overview of genomics, DNA structure and function, gene expression, and genetic variation.
โข Descriptive Statistics in Genomics: Measures of central tendency, dispersion, and association, data visualization techniques, and exploratory data analysis.
โข Inferential Statistics in Genomics: Hypothesis testing, confidence intervals, p-values, and multiple testing corrections.
โข Population Genetics: Allele and genotype frequencies, Hardy-Weinberg equilibrium, and linkage disequilibrium.
โข Statistical Genetics: Heritability, genetic correlation, and genetic epidemiology.
โข Genomic Association Studies: Case-control and cohort designs, genome-wide association studies (GWAS), and pathway analysis.
โข Sequence Analysis and Variant Calling: Sequence alignment, variant calling, and quality control.
โข Machine Learning in Genomics: Supervised and unsupervised learning, model evaluation, and feature selection.
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