A deep learning model for characterizing collaborative transcription regulation.
A generalizable framework to comprehensively predict epigenome, chromatin organization, and transcriptome.
A deep learning model for connecting high-resolution 3D chromatin organization with epigenomics.
An unsupervised manifold alignment algorithm, MMD-MA, for integrating multiple measurements carried out on disjoint aliquots of a given population of single cells.
The first computational embedding method for single cells in terms of their chromatin organization.
A graphical model based multiple testing procedure which captures dependence among the hypotheses.