Dr. Muki Shey is an infectious disease immunologist whose experience in tuberculosis TB (and HIV) clinical research span both industry and academic fields. A senior researcher, mentor, and community leader who champions the prevention and treatment of infectious disease as well as uplifting his fellow scientists.
With a primary research area in the prevention of infection including vaccination, Dr. Shey has contributed to several research projects on TB and HIV in healthy people without any infections, people with latent TB infection, HIV infection, active TB disease and HIV-associated TB, in...
Feb 04, 2020
Stochastic Neighbor Embedding (SNE) is a family of algorithms that create a low-dimensional representation of high-dimensional data by randomly initializing positions for each data point in low-dimensional space, and then optimizing their positions iteratively to better approximate the relationships between those data points and a sampling of their neighbors in the original high dimensional space. The defining characteristic of SNE algorithms is that the appropriate place for each data point in the low dimensional space is represented as a probability distribution for each of its neighbors.
SeqGeq v1.6 is the latest in bioinformatics platforms available from the team at BD Life Sciences. This update contains new features which support the analysis of bulk sequencing datasets.
Sep 25, 2019 | scRNA-Seq