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» A boosting approach for motif modeling using ChIP-chip data
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BMCBI
2007
145views more  BMCBI 2007»
13 years 5 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...
CSB
2003
IEEE
13 years 10 months ago
Haplotype Motifs: An Algorithmic Approach to Locating Evolutionarily Conserved Patterns in Haploid Sequences
The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult ...
Russell Schwartz
BIOCOMP
2006
13 years 6 months ago
An Approach to Selecting Putative RNA Motifs Using MDL Principle
The history of molecular biology is punctuated by a series of discoveries demonstrating the surprising breadth of biological roles of ribonucleic acid (RNA). An ensemble of evoluti...
Mohammad Anwar, Marcel Turcotte
CVPR
2011
IEEE
13 years 1 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
13 years 11 months ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao