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» Using Bayesian networks to analyze expression data
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BMCBI
2007
130views more  BMCBI 2007»
15 years 3 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...
116
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BMCBI
2010
96views more  BMCBI 2010»
15 years 3 months ago
Incorporating gene co-expression network in identification of cancer prognosis markers
Background: Extensive biomedical studies have shown that clinical and environmental risk factors may not have sufficient predictive power for cancer prognosis. The development of ...
Shuangge Ma, Mingyu Shi, Yang Li, Danhui Yi, Ben-C...
SBACPAD
2008
IEEE
249views Hardware» more  SBACPAD 2008»
15 years 10 months ago
Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...
Gustavo Poli, José Hiroki Saito, Joã...
EMSOFT
2006
Springer
15 years 7 months ago
An analysis framework for network-code programs
Distributed real-time systems require a predictable and verifiable mechanism to control the communication medium. Current real-time communication protocols are typically independe...
Madhukar Anand, Sebastian Fischmeister, Insup Lee
LCN
2006
IEEE
15 years 9 months ago
A Congestion-aware Medium Access Control Protocol for Multi-rate Ad-hoc Networks
This paper investigates the problem of how to improve TCP performance in multi-rate Ad-hoc networks with congested links. To improve network performance, different rate adaptation...
Timo Zauner, Luke Haslett, Wen Hu, Sanjay Jha, Cor...