Improving Clinical Predictions through Unsupervised Time Series Representation Learning

no code implementations • 2 Dec 2018 • Xinrui Lyu, Matthias Hueser, Stephanie L. Hyland, George Zerveas, Gunnar Raetsch

In this work, we investigate unsupervised representation learning on medical time series, which bears the promise of leveraging copious amounts of existing unlabeled data in order to eventually assist clinical decision making.

Decision Making Representation Learning +2

mTim: Rapid and accurate transcript reconstruction from RNA-Seq data

1 code implementation • 20 Sep 2013 • Georg Zeller, Nico Goernitz, Andre Kahles, Jonas Behr, Pramod Mudrakarta, Soeren Sonnenburg, Gunnar Raetsch

Recent advances in high-throughput cDNA sequencing (RNA-Seq) technology have revolutionized transcriptome studies.