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The prediction of regulatory elements is a problem where computational methods offer great hope. Over the past few years, numerous tools have become available for this task. The purpose of the current assessment is twofold: to provide some guidance to users regarding the accuracy of currently available tools in various settings, and to provide a benchmark(More)
∗We thank Fernando Alvarez, Ravi Bansal, John Cochrane, Jonathan Parker, Tano Santos, Chris Sims and Pietro Veronesi for valuable comments. We also thank workshop participants at Chicago, Emory, INSEAD, LBS, MIT, Montreal, NBER and Northwestern. Hansen gratefully acknowledges support from the National Science Foundation, Heaton from the Center for Research(More)
It is widely accepted that addictive drug use is related to abnormal functional organization in the user's brain. The present study aimed to identify this type of abnormality within the brain networks implicated in addiction by resting-state functional connectivity measured with functional magnetic resonance imaging (fMRI). With fMRI data acquired during(More)
Online social networks, which have been expanding at a blistering speed recently, have emerged as a popular communication infrastructure for Internet users. Meanwhile, malware that specifically target these online social networks are also on the rise. In this work, we aim to investigate the characteristics of malware propagation in online social networks.(More)
Recently, we performed an assessment of 13 popular computational tools for discovery of transcription factor binding sites (M. Tompa, N. Li, et al., "Assessing Computational Tools for the Discovery of Transcription Factor Binding Sites", Nature Biotechnology, Jan. 2005). This paper contains follow-up analysis of the assessment results, and raises and(More)
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labeled network and a query graph, how to efficiently search the query graph in the target network. The presence of noise and the incomplete knowledge about the structure and content(More)
A hallmark of anamniote vertebrate development is a window of embryonic transcription-independent cell divisions before onset of zygotic genome activation (ZGA). Chromatin determinants of ZGA are unexplored; however, marking of developmental genes by modified histones in sperm suggests a predictive role of histone marks for ZGA. In zebrafish, pre-ZGA(More)
a r t i c l e i n f o Keywords: Text mining Sentiment analysis Cluster analysis Online sports forums Dynamic interacting network analysis Hotspot detection Machine learning Support vector machine Text sentiment analysis, also referred to as emotional polarity computation, has become a flourishing frontier in the text mining community. This paper studies(More)
Location-based Social Networks (LSNs) allow users to see where their friends are, to search location-tagged contentwithin their social graph, and to meet others nearby. The recent availability of open mobile platforms, such as Apple iPhones and Google Android phones, makes LSNs much more accessible to mobile users.To study how users share their location in(More)
Mutation analysis is widely considered to be an exceptionally effective criterion for designing tests. It is also widely considered to be expensive in terms of the number of test requirements and in the amount of execution needed to create a good test suite. This paper posits that simply deleting statements, implemented with the statement deletion (SDL)(More)