This is the repository for the lab module of the Machine Learning for Bioinformatics course as thought in the Spring of 2019. It contains the materials covered in the lab sessions.

Abstract: Machine learning is the adaptive process that makes computers improve from experience, by example ... Learning. Bioinformatics is the interdisciplinary science of interpreting biological ...

Tracking the origin of synthetic genetic code has never been simple, but it can be done through bioinformatic or, increasingly, deep learning computational approaches. Though the latter gets the ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...

In 2014, computer science PhD candidate Alex Ratner ... due to the costly and time-consuming manual labeling of the data that machine learning models learn from. “Like many academic projects ...

Abstract: Machine learning is the adaptive process that makes computers improve from experience, by example ... Learning. Bioinformatics is the interdisciplinary science of interpreting biological ...