Frontpage
Courses
Support
Old version of AbiertaUGR
Download your certificate
Login/Register
Frontpage
Courses
Support
Old version of AbiertaUGR
Download your certificate
Login
Sign up!
contacto@abierta.ugr.es
×
Login to your account
Don't have an account?
Sign up!
Remember username
Lost password?
Log in
MOOC Machine learning and big data for bioinformatics. 2 Edition
Home
Courses
ML_bioinformatica_2ed
Module 1: What is bioinformatics?
Video 1.1
Skip to main content
Video 1.1
In the following video, Carlos Cano Gutiérrez, Professor of Computer Science and Artificial Intelligence at the University of Granada, will introduce us to Bioinformatics.
Last modified: Wednesday, 16 March 2022, 10:52 AM
◄ Module 1 discussion forum
Jump to...
Jump to...
Announcements
Canteen
CERTIFICADO OFICIAL
Module 1 Questionnaire
Module 2 Questionnaire
Module 3 Questionnaire
Module 4 Questionnaire
Module 5 Questionnaire
Module 6 Questionnaire
Module 7 Questionnaire
Module 8 Questionnaire
Final Questionnaire
Module 1 discussion forum
1.1. Bioinformatics: what, why, and how?
Video 1.2
1.2.- Applications in Bio-Sciences and Bio-Health
Video 1.3
Module 2 discussion forum
Video 2.1
2.1.- The problem: How to obtain and prepare the data?
Video 2.2
2.2.- Pre-processing and exploratory analysis
Video 2.3
2.3.- Functional annotation analysis
Module 3 discussion forum
Video 3.1
3.1.- What, how and why?
Video 3.2
3.2.- Supervised Learning
Video 3.3
3.3.- Unsupervised Learning
Module 4 discussion forum
Video 4.1
4.1.- Regression: What, what for and how?
Video 4.2
4.2.- Classical Regression Methods
Video 4.3
4.3.- Machine Learning methods for regression
Module 5 discussion forum
Video 5.1
5.1.- Classification: What, what for and how?
Video 5.2
5.2.- Standard methods in classification
Video 5.3
5.3.- Advanced methods in classification
Module 6 discussion forum
Video 6.1
6.1 Clustering and Association Rules: What, what for and how?
Video 6.2
6.2 Clustering
Video 6.3
6.3 Association Rules
Module 7 discussion forum
Video 7.1
7.1.- Introduction to Big Data
Video 7.2
7.2.- Introduction to Spark using Python
Video 7.3
7.3.- Machine Learning in Spark: MLib
Video 7.4
7.4.- Classification, Regression, Clustering and Association Rules in Spark
Module 8 discussion forum
Video 8.1
8.1 How to use KNIME? - Workflows
Video 8.2
8.2 How to solve a problem with KNIME?
Video 8.3
8.3 Supervised Learning: Regression and Classification in Knime
Video 8.4
8.4 Unsupervised Learning: Clustering and Association Rules in Knime
Datasets example
Example data flows
How to install KNIME
GLOSARIO
GLOSSARY
Presentation and Welcome
Guide
1.1. Bioinformatics: what, why, and how? ►
Copyright © Universidad de Granada