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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
BMCBI
2010
161views more  BMCBI 2010»
14 years 9 months ago
CGHpower: exploring sample size calculations for chromosomal copy number experiments
Background: Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but ad...
Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila,...
CN
2007
141views more  CN 2007»
14 years 9 months ago
Identifying lossy links in wired/wireless networks by exploiting sparse characteristics
In this paper, we consider the problem of estimating link loss rates based on end-to-end path loss rates in order to identify lossy links on the network. We first derive a maximu...
Hyuk Lim, Jennifer C. Hou
BMCBI
2004
124views more  BMCBI 2004»
14 years 9 months ago
The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet)
Background: DopaNet http://www.dopanet.org is a Systems Biology initiative that aims to investigate precisely and quantitatively all the aspects of neurotransmission in a specific...
Nicolas Le Novère, Marco Donizelli
MIAR
2010
IEEE
14 years 8 months ago
Computational Decision Support for Percutaneous Aortic Valve Implantation
Valve replacement is the most common therapy for diseased aortic valves. Percutaneous approaches are becoming increasingly popular, due to reduced procedural complications and lowe...
Ingmar Voigt, Razvan Ioan Ionasec, Bogdan Georgesc...