Machine learning

Implementing a “Siamese” Neural Network with Mariana 1.0

Mariana was previously introduced in this blog by Geneviève in her May post Machine learning in life science. The Mariana codebase is currently standing on github at the third release candidate before the launch of the stable 1.0 release. This new version incorporates a large refactorization effort as well as many new features (a complete list of the changes found in the 1.0 version can be found in the changelog). I am taking this opportunity to present here a small tutorial on extending the [...]

By | 2017-04-29T16:24:07+00:00 November 7, 2016|Categories: Machine learning, Python|Tags: , , , |0 Comments

Machine learning in life science

Machine learning's popularity is increasing among bioinformaticians and biologists as it gives interesting results and has become more accessible than ever. A machine learning model can now be easily applied on a given dataset using R or Python packages. For example, the Python package Scikit-learn provides several algorithms (Random Forest, Support Vector Machine - SVM -, regression model and much more) and good documentation. Even deep machine learning (neural networks with multiple layers or convolutional networks for example) is more accessible [...]

By | 2016-11-08T09:30:05+00:00 May 18, 2016|Categories: Machine learning|0 Comments