32 citations · 99 across the 15 of their papers we have counts for
15 papers
The realization of input-output maps using bialgebras
Robert L. Grossman, Richard G. Larson
We use the theory of bialgebras to provide the algebraic background for state space realization theorems for input-output maps of control systems. This allows us to consider from a…
Data Lakes, Clouds and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data
Robert L. Grossman
Data commons collate data with cloud computing infrastructure and commonly used software services, tools and applications to create biomedical resources for the large-scale managem…
Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping (NB2)
Maria T Patterson, Robert L Grossman
We introduce a method called neighbor-based bootstrapping (NB2) that can be used to quantify the geospatial variation of a variable. We applied this method to an analysis of the in…
A Case for Data Commons: Towards Data Science as a Service
Robert L. Grossman, Allison Heath, Mark Murphy +2
As the amount of scientific data continues to grow at ever faster rates, the research community is increasingly in need of flexible computational infrastructure that can support th…
The Matsu Wheel: A Cloud-based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery
Maria T Patterson, Nikolas Anderson, Collin Bennett +10
Project Matsu is a collaboration between the Open Commons Consortium and NASA focused on developing open source technology for the cloud-based processing of Earth satellite imagery…
The Design of a Community Science Cloud: The Open Science Data Cloud Perspective
Robert L. Grossman, Matthew Greenway, Allison P. Heath +9
In this paper we describe the design, and implementation of the Open Science Data Cloud, or OSDC. The goal of the OSDC is to provide petabyte-scale data cloud infrastructure and re…