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ICONIP
2007
15 years 1 months ago
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
To date, the neural decoding of time-evolving physical state – for example, the path of a foraging rat or arm movements – has been largely carried out using linear trajectory m...
Byron M. Yu, John P. Cunningham, Krishna V. Shenoy...
BMCBI
2007
147views more  BMCBI 2007»
14 years 11 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
85
Voted
ICASSP
2011
IEEE
14 years 3 months ago
Sampling and reconstructing diffusion fields with localized sources
We study the spatiotemporal sampling of a diffusion field generated by K point sources, aiming to fully reconstruct the unknown initial field distribution from the sample measur...
Juri Ranieri, Amina Chebira, Yue M. Lu, Martin Vet...
BMCBI
2011
14 years 3 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
14 years 11 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis