Data Set Used
Accurate gene model annotation of reference genomes is critical for making them useful. The modENCODE project has improved the D. melanogaster genome annotation by using deep and diverse high-throughput data. Since transcriptional activity that has been evolutionarily conserved is likely to have an advantageous function, we have performed large-scale… (More)
Integrating ad hoc wireless communication into dynamic, complex spaces is an inherently challenging task. In this paper, we analyze over 2,800 anonymous pedestrian trajectories captured in a busy train station so as to uncover the unique patterns that emerge as people walk and change mutual distances. We then discuss how our analysis of proximity-based… (More)
A clinical pathway implements best medical practices and represents sequencing and timing of interventions by clinicians for a particular clinical presentation. We used a Bayesian belief network (BBN) to model a clinical pathway for radical prostatectomy and to categorize patient's length of stay (LOS) as being met or delayed given the patient's outcomes… (More)
This work presents the observations of pedestrian mobility characteristics based on the traces collected in a train station; provides a mobility model using these observations.
There has been a renewed interest in investigating the role of stabilizing selection acting on genome-wide traits such as codon usage bias. Codon bias, when synonymous codons are used at unequal frequencies, occurs in a wide variety of taxa. Standard evolutionary models explain the maintenance of codon bias through a balance of genetic drift, mutation and… (More)
(1) Motivations: In wireless networking environment, mobility patterns of nodes have been found to have significant effects on network performance. However, current theoretical mobility models and real trace (randomness) can not reflect the network simulation results properly. Therefore, this work aims to characterize realistic pedestrian mobility patterns… (More)