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132
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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 4 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...
120
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BMCBI
2010
132views more  BMCBI 2010»
15 years 2 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
116
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BMCBI
2005
147views more  BMCBI 2005»
15 years 2 months ago
Calibration of mass spectrometric peptide mass fingerprint data without specific external or internal calibrants
Background: Peptide Mass Fingerprinting (PMF) is a widely used mass spectrometry (MS) method of analysis of proteins and peptides. It relies on the comparison between experimental...
Witold E. Wolski, Maciej Lalowski, Peter Jungblut,...
123
Voted
JCB
2002
116views more  JCB 2002»
15 years 2 months ago
A Novel Approach to Remote Homology Detection: Jumping Alignments
We describe a new algorithm for protein classi cation and the detection of remote homologs. The rationale is to exploit both vertical and horizontal information of a multiple alig...
Rainer Spang, Marc Rehmsmeier, Jens Stoye
166
Voted
BMCBI
2011
14 years 6 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
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