SOCR Intro UMich 2018
Contents
SOCR News & Events: Introduction to the Statistics Online Computational Resource (SOCR)
Logistics
- Event: May 2018 Health Behavior and Biological Sciences Department Meeting
- Place/Time: 3-4 PM, 400 N. Ingalls (Suite #1330, 400 NIB)
- Presenter: Ivo D Dinov
Abstract
The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge. SOCR provides portable online aids for probability, statistics, and health science education, promotes technology-enhanced instruction, supports efficient statistical computing, and advances predictive big data analytics. The SOCR infrastructure includes a repository of interactive applets, computational webapps, graphing tools, instructional resources, challenging case-studies, learning materials, and many curricular components.
SOCR Services
- Consultations on data analytic problems, computational challenges, statistical methods
- Methodological support for research studies, grant applications, and publications,
- Technology support for data management, wrangling, visualization, and interrogation of complex, multi-source, heterogeneous biomedical and health data,
- High-performance, large-memory computing services, and
- Biomedical informatics, health analytics, and machine-learning classification, prediction and clustering.
Examples of specific SOCR Resurces
- SOCR Navigators
- SOCR Datasets and Challenging Case-studies
- Electronic Textbooks: Probability and Statistics EBook, Scientific Methods for Health Sciences, Data Science and Predictive Analytics
SOCR Tools
The Statistics Online Computational Resource (SOCR) provides tools and services for capturing and interrogating biomedical and healthcare data. These include SOCR Analytical Toolkit (SOCRAT), SOCR Data Dashboard Webapp, SOCR PubMed Navigator, Motion Charts, Randomization, Resampling and Simulation Webapp Violin Chart, Interactive (3D) Bivariate Normal Distribution Calculator webapp, Normal Distribution Calculator, Distributome Probability Calculators, Virtual Experiments, Simulators, Probability Distributome Navigator, Econometrics Webapps, XTK/HTML5 Brain Viewer and BrainBook Painter, DataSifter: Sharing and Obfuscation of Sensitive Data, CBDA: Compressive Big Data Analytics, 2D Interactive Voronoi Tessellation App, SOCR t-SNE Dimensionaltiy Reduction (TensorBoard) UKBB Machine Learning Modules, SOCR GitHub Resources, Apps, Code, Tools, and other Services.
References
- SOCR Publications
- Dinov, ID, 2018. Data Science and Predictive Analytics: Biomedical and Health Applications using R, Springer, Computer Science, ISBN 978-3-319-72346-4.
- Data Science and Predictive Analytics (DSPA) Website: http://predictive.space
- SOCR Home page: http://www.socr.umich.edu
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