Reconstructing cell cycle and disease progression using deep learning
Philipp Eulenberg, Niklas Köhler, Thomas Blasi, Andrew J. Filby, Anne Elizabeth Carpenter, Paul C. T. Rees, Fabian Joachim Theis, F. Alexander Wolf
This paper uses deep learning to reconstruct cell cycle stages and disease progression from image data, achieving lower error rates and faster analysis.
Nature Communications · Aug 31, 2017Peer-reviewedBioinformatics