44 citations · 65 across the 3 of their papers we have counts for
4 papers
Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View
Roxana Zahedi Nasab, Mohammad Reza Eftekhariyan Ghamsari, Ahmadreza Argha +6
Spatially resolved transcriptomics (SRT) has evolved rapidly through various technologies, enabling scientists to investigate both morphological contexts and gene expression profil…
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution
Leon Hetzel, Simon Böhm, Niki Kilbertus +3
Single-cell transcriptomics enabled the study of cellular heterogeneity in response to perturbations at the resolution of individual cells. However, scaling high-throughput screens…
Conditional out-of-sample generation for unpaired data using trVAE
Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis +1
While generative models have shown great success in generating high-dimensional samples conditional on low-dimensional descriptors (learning e.g. stroke thickness in MNIST, hair co…
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning
Mohammad Lotfollahi, Ramin Shirali Hossein Zade, Mahdi Jafari Siavoshani +1
Internet traffic classification has become more important with rapid growth of current Internet network and online applications. There have been numerous studies on this topic whic…