Technology for collecting and analyzing relational data

Probabilistic Models for Collecting, Analyzing, and Modeling Expression Data

Advances in genomics allow researchers to measure the complete set of transcripts in cells. These transcripts include mRNAs (which encode for proteins) and microRNAs, short RNAs that play a regulatory role in cellular networks. While this data is a great resource for reconstructing the activity of networks in the cell, it also presents several challenges. These challenges begin with the data co...

Collecting and analyzing organizational level data for health behavior research.

Language Technology for Post-relational Data Systems

Collecting and Analyzing Data from Distributed Control Programs

This paper describes a set of tools that allows a developer to instrument a C/C++ program to log data at run-time and then analyze that data to verify correct behavior. The logging tools provide the developer with a means to log a variety of di erent data to a variety of di erent outputs. They also allow for synchronized logging of data from distributed programs. One logging output option is an...

Collecting and Analyzing Eye-tracking Data in Outdoor Environments

Early eye-tracking experiments required participants to stabilize their heads while looking at two-dimensional stimuli in a room with carefully controlled lighting. Many of the field’s standards for collecting and processing data reflect this history of stationary, laboratory-based eyetracking. Over the last two decades, the cost and quality of wearable eye-tracking systems has improved dramati...