Marinka Zitnik

Fusing bits and DNA

  • Increase font size
  • Default font size
  • Decrease font size
Home Deep networks

Deep networks

Article: ICLR 2019 Workshop: Representation Learning on Graphs and Manifolds

I am very excited to be co-organizing an ICLR 2019 workshop on Representation Learning on Graphs and Manifolds. We will be having an amazing lineup of invited speakers on a variety of methods and problems in this area! Also, stay tuned for the...

Article: Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

My review of machine learning for biomedical data integration is now available online in Information Fusion. This paper is intended for computer scientists and biomedical researchers who are curious about recent developments and applications of...

Article: ISMB 2018: Polypharmacy Side Effects

We presented our work on predicting polypharmacy side effects at ISMB/ECCB in Chicago, IL, USA. Here are the slides. This work has been highlighted in Stanford News, covered by several other news outlets, and is the most read paper in Bioinformatics....

Article: Tutorial on Deep Learning for Network Biology at ISMB

We just presented a tutorial on Deep Learning for Network Biology at ISMB 2018 in Chicago, IL, USA. If you are interested in these topics and would like to learn more about graph neural networks and/or their biomedical applications but could not...

Article: Bioinformatics: What side effects to expect if taking multiple drugs?

Many patients take multiple drugs at the same time to treat complex diseases, such as heart failure, or co-occurring diseases, such as diabetes and epilepsy. The use of combinations of drugs is a common practice. In fact, 25 percent of people ages 65...