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» Probabilistic calling context
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131
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NIPS
1998
15 years 3 months ago
Facial Memory Is Kernel Density Estimation (Almost)
We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...
Matthew N. Dailey, Garrison W. Cottrell, Thomas A....
144
Voted
BMCBI
2007
190views more  BMCBI 2007»
15 years 2 months ago
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
Emma Redhead, Timothy L. Bailey
BMCBI
2008
138views more  BMCBI 2008»
15 years 2 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
124
Voted
CORR
2008
Springer
139views Education» more  CORR 2008»
15 years 2 months ago
Exact two-terminal reliability of some directed networks
Abstract-- The calculation of network reliability in a probabilistic context has long been an issue of practical and academic importance. Conventional approaches (determination of ...
Christian Tanguy
BMCBI
2006
116views more  BMCBI 2006»
15 years 2 months ago
A model-based approach to selection of tag SNPs
Background: Single Nucleotide Polymorphisms (SNPs) are the most common type of polymorphisms found in the human genome. Effective genetic association studies require the identific...
Pierre Nicolas, Fengzhu Sun, Lei M. Li