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137
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BMCBI
2008
126views more  BMCBI 2008»
15 years 2 months ago
c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
Katerina Kechris, Hao Li
139
Voted
ICML
2009
IEEE
15 years 9 months ago
Sparse higher order conditional random fields for improved sequence labeling
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huan...
131
Voted
PPPJ
2006
ACM
15 years 8 months ago
Experiences with the development of a reverse engineering tool for UML sequence diagrams: a case study in modern Java developmen
The development of a tool for reconstructing UML sequence diagrams from executing Java programs is a challenging task. We implemented such a tool designed to analyze any kind of J...
Matthias Merdes, Dirk Dorsch
138
Voted
DAWAK
2005
Springer
15 years 8 months ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...
CIKM
2004
Springer
15 years 8 months ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu