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» Estimating true evolutionary distances under the DCJ model
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CVPR
2000
IEEE
14 years 7 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
BMCBI
2010
124views more  BMCBI 2010»
13 years 5 months ago
Estimating time since infection in early homogeneous HIV-1 samples using a poisson model
Background: The occurrence of a genetic bottleneck in HIV sexual or mother-to-infant transmission has been well documented. This results in a majority of new infections being homo...
Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya,...
BMCBI
2008
113views more  BMCBI 2008»
13 years 5 months ago
Investigating selection on viruses: a statistical alignment approach
Background: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading fra...
Saskia de Groot, Thomas Mailund, Gerton Lunter, Jo...
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 16 days ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
RECOMB
2003
Springer
14 years 5 months ago
Accurate detection of very sparse sequence motifs
Protein sequence alignments are more reliable the shorter the evolutionary distance. Here, we align distantly related proteins using many closely spaced intermediate sequences as ...
Andreas Heger, Michael Lappe, Liisa Holm