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UAI
1996
15 years 9 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
BCSHCI
2009
15 years 8 months ago
Evaluating haptics for information discovery while walking
In this article we describe and evaluate a novel, low interaction cost approach to supporting the spontaneous discovery of geo-tagged information while on the move. Our mobile hap...
Simon Robinson, Parisa Eslambolchilar, Matt Jones
BMCBI
2010
139views more  BMCBI 2010»
15 years 7 months ago
MOTIPS: Automated Motif Analysis for Predicting Targets of Modular Protein Domains
Background: Many protein interactions, especially those involved in signaling, involve short linear motifs consisting of 5-10 amino acid residues that interact with modular protei...
Hugo Y. K. Lam, Philip M. Kim, Janine Mok, Raffi T...
BIOINFORMATICS
2006
135views more  BIOINFORMATICS 2006»
15 years 7 months ago
Effective similarity measures for expression profiles
It is commonly accepted that genes with similar expression profiles are functionally related. However, there are many ways one can measure the similarity of expression profiles, a...
Golan Yona, William Dirks, Shafquat Rahman, David ...
CG
2007
Springer
15 years 7 months ago
Semantic lenses: Seamless augmentation of web pages with context information from implicit queries
We propose a novel method to support analytical processes by visually integrating context information directly into web pages. The context information is obtained from knowledge b...
Martin Rotard, Mark Giereth, Thomas Ertl