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132
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BMCBI
2006
147views more  BMCBI 2006»
15 years 23 days ago
Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
Alex Lewin, Ian C. Grieve
129
Voted
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 3 months ago
Low rank modeling of signed networks
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillo...
VIS
2005
IEEE
122views Visualization» more  VIS 2005»
16 years 1 months ago
Effectively Visualizing Large Networks Through Sampling
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
Davood Rafiei, Stephen Curial
113
Voted
CIKM
2008
Springer
15 years 2 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
IJRR
2008
80views more  IJRR 2008»
15 years 21 days ago
Motion Planning for Legged Robots on Varied Terrain
This paper studies the quasi-static motion of large legged robots that have many degrees of freedom. While gaited walking may suffice on easy ground, rough and steep terrain requi...
Kris K. Hauser, Timothy Bretl, Jean-Claude Latombe...