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BMCBI
2007
134views more  BMCBI 2007»
14 years 10 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
NCA
2002
IEEE
14 years 9 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
14 years 9 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
15 years 1 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...
ISBI
2007
IEEE
15 years 4 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...