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» Incremental Bayesian networks for structure prediction
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RECOMB
2010
Springer
13 years 9 months ago
MoGUL: Detecting Common Insertions and Deletions in a Population
Abstract. While the discovery of structural variants in the human population is ongoing, most methods for this task assume that the genome is sequenced to high coverage (e.g. 40x),...
Seunghak Lee, Eric Xing, Michael Brudno
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 5 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
ICVS
1999
Springer
13 years 9 months ago
Ascender II, a Visual Framework for 3D Reconstruction
This paper presents interim results from an ongoing project on aerial image reconstruction. One important task in image interpretation is the process of understanding and identifyi...
Maurício Marengoni, Christopher O. Jaynes, ...
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
13 years 10 months ago
A Computational Approach to Reconstructing Gene Regulatory Networks
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Xutao Deng, Hesham H. Ali
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...