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» A boosting approach for motif modeling using ChIP-chip data
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BMCBI
2006
103views more  BMCBI 2006»
13 years 5 months ago
Meta-All: a system for managing metabolic pathway information
Background: Many attempts are being made to understand biological subjects at a systems level. A major resource for these approaches are biological databases, storing manifold inf...
Stephan Weise, Ivo Grosse, Christian Klukas, Dirk ...
DAGM
2010
Springer
13 years 4 months ago
Catheter Tracking: Filter-Based vs. Learning-Based
Abstract. Atrial fibrillation is the most common sustained arrhythmia. One important treatment option is radio-frequency catheter ablation (RFCA) of the pulmonary veins attached t...
Alexander Brost, Andreas Wimmer, Rui Liao, Joachim...
BMCBI
2008
155views more  BMCBI 2008»
13 years 5 months ago
Prediction of regulatory elements in mammalian genomes using chromatin signatures
Background: Recent genomic scale survey of epigenetic states in the mammalian genomes has shown that promoters and enhancers are correlated with distinct chromatin signatures, pro...
Kyoung-Jae Won, Iouri Chepelev, Bing Ren, Wei Wang
BMCBI
2004
114views more  BMCBI 2004»
13 years 5 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
ESANN
2006
13 years 7 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...