Rafael Irizarry

Dr. Irizarry received his bachelor’s in mathematics in 1993 from the University of Puerto Rico and his Ph.D. in statistics in 1998 from the University of California, Berkeley. He joined the faculty of the Department of Biostatistics in the Bloomberg School of Public Health in 1998 and was promoted to Professor in 2007. He is now Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute and a Professor of Biostatistics at Harvard School of Public Health. Dr. Irizarry has worked on the analysis and pre-processing of microarray, next-generation sequencing, and genomic data, and is currently interested translational work, developing diagnostic tools and discovering biomarkers. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data.
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Statistical Inference and Modeling for High-throughput Experiments (edX)

Self Paced
Statistical Inference and Modeling for High-throughput Experiments (edX)
Course Auditing
EdX
HarvardX
Harvard University
Categories
Sci: Biology & Life Sciences
Statistics & Data Analysis
Data Science
Effort
Intermediate
Self-Paced
1-4 Hours/Week
Languages
English
English
Statistical Inference and Modeling for High-throughput Experiments (edX)
A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it [...]
Data Analysis for Life Sciences XSeries
Statistical Inference
Bayesian Statistics
Exploratory Data Analysis
Statistical Modeling
Statistics
Modeling
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Self Paced
Course Auditing
EdX
HarvardX
Harvard University
Sci: Biology & Life Sciences
Statistics & Data Analysis
Data Science
Intermediate
Self-Paced
1-4 Hours/Week
126.00 EUR
English
English

Statistics and R (edX)

Self Paced
Statistics and R (edX)
Course Auditing
EdX
Harvard University
HarvardX
Categories
Data Science
Statistics & Data Analysis
Sci: Biology & Life Sciences
Effort
Intermediate
Self-Paced
1-4 Hours/Week
Languages
English
English
Statistics and R (edX)
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a [...]
Data Analysis for Life Sciences XSeries
Exploratory Data Analysis
R Programming
Statistics
R Language
Distributions
Statistical Inference
Data Analysis
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Self Paced
Course Auditing
EdX
Harvard University
HarvardX
Data Science
Statistics & Data Analysis
Sci: Biology & Life Sciences
Intermediate
Self-Paced
1-4 Hours/Week
210.00 EUR
English
English

Case Studies in Functional Genomics (edX)

Self Paced
Case Studies in Functional Genomics (edX)
Course Auditing
EdX
Harvard University
HarvardX
Categories
Data Science
Statistics & Data Analysis
Sci: Biology & Life Sciences
Effort
Advanced
Self-Paced
1-4 Hours/Week
Languages
English
English
Case Studies in Functional Genomics (edX)
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor. We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions. [...]
Data Analysis for Genomics Professional Certificate
Genomics Data Analysis XSeries
Biological Data
Biocondutor
Data Analysis
ChIP-seq Datasets
Genomics
Next Generation Sequencing
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Self Paced
Course Auditing
EdX
Harvard University
HarvardX
Data Science
Statistics & Data Analysis
Sci: Biology & Life Sciences
Advanced
Self-Paced
1-4 Hours/Week
138.00 EUR
English
English

Advanced Bioconductor (edX)

Self Paced
Advanced Bioconductor (edX)
Course Auditing
EdX
HarvardX
Harvard University
Categories
Sci: Biology & Life Sciences
Statistics & Data Analysis
Data Science
Effort
Advanced
Self-Paced
1-4 Hours/Week
Languages
English
English
Advanced Bioconductor (edX)
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data. In this course, we begin with approaches to visualization of genome-scale data, and provide tools to build interactive graphical interfaces to speed discovery and interpretation. Using knitr and rmarkdown as basic authoring [...]
Data Analysis for Genomics Professional Certificate
Interactive Graphics
Parallel Computing
Genotyping
Biocondutor
Biological Data
Genomics Data Analysis XSeries
Reproducible Genomics
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Self Paced
Course Auditing
EdX
HarvardX
Harvard University
Sci: Biology & Life Sciences
Statistics & Data Analysis
Data Science
Advanced
Self-Paced
1-4 Hours/Week
131.00 EUR
English
English

Introduction to Bioconductor (edX)

Self Paced
Introduction to Bioconductor (edX)
Course Auditing
EdX
Harvard University
HarvardX
Categories
Statistics & Data Analysis
Data Science
Sci: Biology & Life Sciences
Effort
Intermediate
Self-Paced
1-4 Hours/Week
Languages
English
English
Introduction to Bioconductor (edX)
The structure, annotation, normalization, and interpretation of genome scale assays. We begin with an introduction to the biology, explaining what we measure and why. Then we focus on the two main measurement technologies: next generation sequencing and microarrays. We then move on to describing how raw data and experimental [...]
Data Analysis for Genomics Professional Certificate
Microarray Data
Statistical Methods
Genome
Bioconductor
Genomics
Genomics Data Analysis XSeries
Next Generation Sequencing
View more details
Self Paced
Course Auditing
EdX
Harvard University
HarvardX
Statistics & Data Analysis
Data Science
Sci: Biology & Life Sciences
Intermediate
Self-Paced
1-4 Hours/Week
131.00 EUR
English
English

Introduction to Linear Models and Matrix Algebra (edX)

Self Paced
Introduction to Linear Models and Matrix Algebra (edX)
Course Auditing
EdX
HarvardX
Harvard University
Categories
Statistics & Data Analysis
Sci: Biology & Life Sciences
Data Science
Effort
Intermediate
Self-Paced
1-4 Hours/Week
Languages
English
English
Introduction to Linear Models and Matrix Algebra (edX)
Learn to use R programming to apply linear models to analyze data in life sciences. Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that [...]
Data Analysis for Life Sciences XSeries
Linear Models
Linear Algebra
Data Analysis
Matrix
Algebra
View more details
Self Paced
Course Auditing
EdX
HarvardX
Harvard University
Statistics & Data Analysis
Sci: Biology & Life Sciences
Data Science
Intermediate
Self-Paced
1-4 Hours/Week
131.00 EUR
English
English

Case study: DNA methylation data analysis (edX)

Not Available
Case study: DNA methylation data analysis (edX)
Free Course
EdX
Harvard University
Categories
Sci: Biology & Life Sciences
Statistics & Data Analysis
Effort
Course Not Available
Self-Study
Languages
English
Case study: DNA methylation data analysis (edX)
Basic workflow for analyzing DNA methylation data. The course is running Self-Paced through September 15th, 2015.
Data Analysis
Biology
Biological Data
Biocondutor
DNA Methylation
View more details
Not Available
Free Course
EdX
Harvard University
Sci: Biology & Life Sciences
Statistics & Data Analysis
Course Not Available
Self-Study
English