ICML 2017

Workshop on Computational Biology

Overview

Location: ICML 2017, Sydney, Australia

Description

The application of Machine Learning in Computational Biology has advanced significantly in recent years; there have been credible developments in many high-throughput technologies that enable data generation from many interesting biological systems. The gamut of novel algorithms in Machine Learning makes it very attractive to apply these methods to address challenging new biological questions. It therefore only seems fitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments.

We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We also invite papers that deal with novel algorithms and computational approaches that are especially robust and scalable to high-dimensional data and and provide interpretable relationships in biological systems. We encourage submissions dealing with applications of machine learning methods or bioinformatics approaches to biological or biomedical data. Papers will be presented in poster format and some will be chosen for oral presentation as well. Through invited talks and presentations by the participants, this workshop will bring together current advances in Computational Biology and set the stage for continuing interdisciplinary research discussions.

The workshop is a sequel to the WCB @ ICML 2016 (NYC) which was very well-received by the community.