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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 8 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
ISMB
2004
15 years 7 months ago
Exploiting conserved structure for faster annotation of non-coding RNAs without loss of accuracy
Motivation: Non-coding RNAs (ncRNAs)--functional RNA molecules not coding for proteins--are grouped into hundreds of families of homologs. To find new members of an ncRNA gene fam...
Zasha Weinberg, Walter L. Ruzzo
NIPS
1998
15 years 7 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
BMCBI
2007
112views more  BMCBI 2007»
15 years 6 months ago
AUG_hairpin: prediction of a downstream secondary structure influencing the recognition of a translation start site
Background: The translation start site plays an important role in the control of translation efficiency of eukaryotic mRNAs. The recognition of the start AUG codon by eukaryotic r...
Alexey V. Kochetov, Andrey Palyanov, Igor I. Titov...
MICCAI
2010
Springer
15 years 4 months ago
Statistical Analysis of Structural Brain Connectivity
Abstract. We present a framework for statistical analysis in large cohorts of structural brain connectivity, derived from diffusion weighted MRI. A brain network is defined betwe...
Renske de Boer, Michiel Schaap, Fedde van der Lijn...