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» An integrative approach to modeling biological networks
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BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...
BCEC
1997
13 years 10 months ago
Attractor Network Models of Cortical Associative Memory
Attractor network models of cortical associative memory functions have developed considerably over the past few years. Here we show that we can improve them further, in terms of c...
Anders Lansner, Erik Fransén
IJON
1998
95views more  IJON 1998»
13 years 8 months ago
Self-organization and segmentation in a laterally connected orientation map of spiking neurons
The RF-SLISSOM model integrates two separate lines of research on computational modeling of the visual cortex. Laterally connected self-organizing maps have been used to model how...
Yoonsuck Choe, Risto Miikkulainen
CVIU
2008
203views more  CVIU 2008»
13 years 9 months ago
A computer vision model for visual-object-based attention and eye movements
This paper presents a new computational framework for modelling visual-object based attention and attention-driven eye movements within an integrated system in a biologically insp...
Yaoru Sun, Robert B. Fisher, Fang Wang, Herman Mar...
PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church