High-Dimensional Data Analysis

Rafael Irizarry, Michael Love, HarvardX

A focus on several techniques that are widely used in the analysis of high-dimensional data.

If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction of high-dimensional data sets, and multi-dimensional scaling and its connection to principle component analysis. We will learn about the batch effect, the most challenging data analytical problem in genomics today, and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.

Finally, we give a brief introduction to machine learning and apply it to high-throughput, large-scale data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates and cross-validation.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

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

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

PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics

This class was supported in part by NIH grant R25GM114818.

What will you learn

  • Mathematical Distance
  • Dimension Reduction
  • Singular Value Decomposition and Principal Component Analysis
  • Multiple Dimensional Scaling Plots
  • Factor Analysis
  • Dealing with Batch Effects
  • Clustering
  • Heatmaps
  • Basic Machine Learning Concepts

Dates:
  • 15 February 2020
Course properties:
  • Free:
  • Paid:
  • Certificate:
  • MOOC:
  • Video:
  • Audio:
  • Email-course:
  • Language: English Gb

Reviews

No reviews yet. Want to be the first?

Register to leave a review

Show?id=n3eliycplgk&bids=695438
NVIDIA
More on this topic:
54f10d8d-e1cd-44a9-9fe3-af78afe8a9ed-e646d043ea61.small Fundamentals of Statistics
Develop a deep understanding of the principles that underpin statistical inference...
Small-icon.hover Digital Signal Processing
Learn the fundamentals of digital signal processing theory and discover the...
Movielens Introduction to Recommender Systems
This course introduces the concepts, applications, algorithms, programming,...
58333_95d5_12 Equity Research - A Comprehensive Program by edu CBA
The way an Equity Analyst / Investment Banker does! Includes Excel, Accounting...
Ph525x_course_verified262x136 PH525x: Data Analysis for Genomics
Data Analysis for Genomics will teach students how to harness the wealth of...
More from 'Biology & Life Sciences':
389d5e5e-7679-467e-b5bb-b21c9c86ca1f-31a7731a68f2.small Introduction to Biology - The Secret of Life
Explore the secret of life through the basics of biochemistry, genetics, molecular...
A4d6f55d-1a06-4736-a297-88e964f35e98-a7ab133a0195.small Molecular Biology - Part 1: DNA Replication and Repair
An in-depth adventure through DNA replication and repair to strengthen your...
72c27b2f-3419-430f-a28f-10dbc7120457-a14087e5df76.small DNA Sequences: Alignments and Analysis
Learn how to align and analyze DNA sequences using web and software based tools...
99db43ab-cb59-4fe7-82a5-cb3ea4a1c0d1-9e4bfbd3468b.small Sharks!
Learn about the most fascinating animals on Earth, their sophisticated senses...
8306db80-82ae-4b69-8864-a16cb278a4c9-8f1a0d9320a1.small Anthropology of Current World Issues
Learn to use anthropological ideas to see the world from a range of perspectives...
More from 'edX':
4e32f396-cd37-43a3-a856-3704a1061849-f64a6df7ccc4.small Leadership and Influence
Develop the skills to motivate and inspire others so you can confidently lead...
E435bd5b-8843-40c8-b260-ce34433d9a0e-a3897f869072.small Global Business Strategy
Learn how to capitalize on opportunities, and manage the challenges of the global...
B093db1a-4553-4ec3-a44b-96c71d1da0a5-b6dc2ba5887a.small Mining for Development: The Taxation Linkage
Understand taxation for development and sustainability in mining. Tax revenues...
C2f40fe6-7bcf-45f5-b1bc-e906563c1f3d-30f087164b1d.small Digital Transformation in Business
Learn about the explosion of technologies that are transforming business and...
7b2ecb24-2874-402b-ad86-473e246cae0c-aa0d4ca8dc73.small RiceX Linear Algebra Part 1
This course is an introduction to linear algebra. You will discover the basic...

© 2013-2019