Big Data, Genes, and Medicine

Name: Big Data, Genes, and Medicine
Rating: NaN (0 reviews)
Author: The State University of New York

Cours

Anglais

18 h

Source

Sur www.coursera.org

Conditions

À son rythme
Accès libre
Certificat payant

Plus d'informations

6 séquences
Niveau Avancé

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Détails du cours

Déroulé

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.

Prérequis

Aucun.

Intervenants

Isabelle Bichindaritz
Associate Professor
Computer Science

Éditeur

The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.

Plateforme

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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