Introduction to Bioconductor

所在平台: EdxArchive 课程类别: 其他类别 大学或机构: Harvard University 授课老师： Rafael Irizarry Vincent Carey

课程主页: https://www.edx.org/archive/introduction-bioconductor-harvardx-ph525-4x

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课程简介

*Note - This is an Archived course*

We will teach a review of linear algebra, including matrix notation, which underlies many of the current tools for analyzing large-dimensional data. We will then use linear models to represent differences between experimental units and perform statistical inference on these differences.

Topics:

• Linear algebra: matrix notation, matrix operations
• Linear models: comparing groups of samples, multiple variables, contrasts, and interaction terms.

This class was supported in part by NIH grant R25GM114818.

This course is part of a larger set of 8 total courses:

* Registration open through 4 May 2015

* Classes start Feb 16; all assignments due by 23 May 2015

PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

PH525.3x: Advanced Statistics for the Life Sciences

PH525.4x: Introduction to Bioconductor

PH525.5x: Case study: RNA-seq data analysis

PH525.6x: Case study: Variant Discovery and Genotyping

PH525.7x: Case study: ChIP-seq data analysis

PH525.8x: Case study: DNA methylation data analysis

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

 

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This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course.

课程大纲

• How to use the Bioconductor project software packages
• Methods to analyze data from next generation sequencing and microarray technologies

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