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A Theoretical Model for Whole Genome Alignment

Generating random graphs with tunable clustering coefficients

Mining Posets from Linear Orders

A System to Automatically Classify and Name Any Individual Genome-Sequenced Organism Independently of Current Biological Classification and Nomenclature

Identifying Splicing Regulatory Elements with de Bruijn Graphs

A Framework for Exploiting Local Information to Enhance Density Estimation of Data Streams

Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling

SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning

Be the Data

Be the Data is an embodied approach to visual analytics  designed for teaching abstract data analytics concepts to students. In particular, it addresses the problem of exploring alternative projections of high-dimensional data points using interactive dimension reduction techniques. In Be the Data, each student in a physical space, embodies a data point in a dataset. […]

Prediction using Propagation: From Flu-Trends to Cyber Security

This article discusses two applications of propagation-based concepts for predictive analytics:  marrying epidemiological models with statistical topic models to tease out user phases for better flu-trends prediction, and using propagation-based models to generatively model estimates of malware attacks.