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» A Comorbidity Network Approach to Predict Disease Risk
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BMCBI
2006
169views more  BMCBI 2006»
13 years 5 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
BMCBI
2004
133views more  BMCBI 2004»
13 years 5 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
BMCBI
2010
96views more  BMCBI 2010»
13 years 5 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...
RECOMB
2002
Springer
14 years 5 months ago
A Survey of Computational Methods for Determining Haplotypes
It is widely anticipated that the study of variation in the human genome will provide a means of predicting risk of a variety of complex diseases. Single nucleotide polymorphisms (...
Bjarni V. Halldórsson, Vineet Bafna, Nathan...
NETWORKING
2000
13 years 6 months ago
QoS Rewards and Risks: A Multi-market Approach to Resource Allocation
A large number of network applications require a particular Quality of Service (QoS), that can be provided through proper network resource allocation. Furthermore, certain applicat...
Errin W. Fulp, Douglas S. Reeves