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DILS
2007
Springer
15 years 10 months ago
Accelerating Disease Gene Identification Through Integrated SNP Data Analysis
Information about small genetic variations in organisms, known as single nucleotide polymorphism (SNPs), is crucial to identify candidate genes that have a role in disease suscepti...
Paolo Missier, Suzanne M. Embury, Cornelia Hedeler...
ICASSP
2010
IEEE
15 years 6 months ago
Noise robust exemplar-based connected digit recognition
This paper proposes a noise robust exemplar-based speech recognition system where noisy speech is modeled as a linear combination of a set of speech and noise exemplars. The metho...
Jort F. Gemmeke, Tuomas Virtanen
JCSS
2007
116views more  JCSS 2007»
15 years 6 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
IJON
2000
76views more  IJON 2000»
15 years 6 months ago
Fast neural network simulations with population density methods
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
Duane Q. Nykamp, Daniel Tranchina
CSDA
2007
84views more  CSDA 2007»
15 years 6 months ago
Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes
This paper proposes mixture models for spatially adaptive smoothing of health event data (e.g. mortality or illness totals). Such models allow for spatial pooling of strength but a...
Peter Congdon