Predicting epidemiological trends with cellular automataLast updated on Dec 10, 2019Go to Project Site Predicting epidemiological trends with cellular automataMachine Learning Network BiologyDa-Inn Erika LeePhD Student in Biomedical Data ScienceI am a PhD student developing machine learning algorithms to study how the DNA folds inside the cell.RelatedConvolutional neural network (CNN) for predicting Hi-C interaction countsHigher Understanding with Lower DimensionsIntegrating single-cell gene expression datasetsGRiNCH: Graph-Regularized NMF and Clustering for Hi-CGreedy approach to maximizing gradient diversity for minibatch SGD