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Big Data, Genes, and Medicine
Course
en
English
18 h
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- Self-paced
- Free Access
- Fee-based Certificate
- 6 Sequences
- Advanced Level
Course details
Syllabus
- Week 1 - Genes and Data
After this module, you will be able to1. Locate and download files for data analysis involving genes and medicine.2. Open files and preprocess data using R language.3. Write R scripts to replace missing values, normalize data, discretize data, and sample da... - Week 2 - Preparing Datasets for Analysis
After this module, you will be able to: 1. Locate and download files for data analysis involving genes and medicine.2. Open files and preprocess data using R language.3. Write R scripts to replace missing values, normalize data, discretize data, and sample ... - Week 3 - Finding Differentially Expressed Genes
After this module, you will be able to1. Select features from highly dimensional datasets.2. Evaluate the performance of feature selection methods.3. Write R scripts to select features from datasets involving gene expressions. - Week 4 - Predicting Diseases from Genes
After this module, you will be able to1. Build classification and prediction models.2. Evaluate the performance of classification and prediction methods.3. Write R scripts to classify and predict diseases from gene expressions. - Week 5 - Determining Gene Alterations
After this module, you will be able to1. List different types of gene alterations.2. Compare and contrast methods for detecting gene mutations.3. Compare and contrast methods for detecting methylation.4. Compare and contrast methods for detecting copy numb... - Week 6 - Clustering and Pathway Analysis
After this module, you will be able to 1. Find clusters in biomedical data involving genes.2. Analyze and visualize biological pathways. 3. Write R scripts for clustering and for pathway analysis.
Prerequisite
None.
Instructors
Isabelle Bichindaritz
Associate Professor
Computer Science
Editor
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Platform
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