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ESANN
2004
15 years 6 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
BMCBI
2007
167views more  BMCBI 2007»
15 years 4 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
ASAP
2003
IEEE
133views Hardware» more  ASAP 2003»
15 years 10 months ago
Storage Management in Process Networks using the Lexicographically Maximal Preimage
At the Leiden Embedded Research Center, we are developing a compiler called Compaan that automatically translates signal processing applications written in Matlab into Kahn Proces...
Alexandru Turjan, Bart Kienhuis
154
Voted
BIODATAMINING
2008
147views more  BIODATAMINING 2008»
15 years 5 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
170
Voted
TCBB
2010
144views more  TCBB 2010»
14 years 11 months ago
Querying Graphs in Protein-Protein Interactions Networks Using Feedback Vertex Set
Recent techniques increase rapidly the amount of our knowledge on interactions between proteins. The interpretation of these new information depends on our ability to retrieve kno...
Guillaume Blin, Florian Sikora, Stéphane Vi...