You can access the Lab's Github Repository by clicking the link below
1.MAGIC (Markov Affinity-based Graph Imputation of Cells): an algorithm that uses graph signal processing for denoising and missing transcript recovery in single cell RNA sequencing. MAGIC successfully recovers gene-gene relationships from data and allows for the prediction of transcription targets.
5. DyMoN(Dynamics Modeling Networks): A neural network framework for learning stochastic dynamics for generative and embedding purposes. DyMoN serves as a deep model that itself embodies a dynamic system such that the gene logic and features driving the system can be studied.
8. Neuron Editing: a neural network inference method which maps between datasets with the signal learned on a subset of the data, for example when a drug perturbation is applied to one cell type neuron editing can be used to apply it in silico to another cell type.