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» Discovery of Quantitative Sequential Patterns from Event Seq...
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JMLR
2002
133views more  JMLR 2002»
13 years 5 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
BMCBI
2008
132views more  BMCBI 2008»
13 years 5 months ago
The Average Mutual Information Profile as a Genomic Signature
Background: Occult organizational structures in DNA sequences may hold the key to understanding functional and evolutionary aspects of the DNA molecule. Such structures can also p...
Mark Bauer, Sheldon M. Schuster, Khalid Sayood
BMCBI
2005
73views more  BMCBI 2005»
13 years 5 months ago
Evaluation of Glycine max mRNA clusters
Background: Clustering the ESTs from a large dataset representing a single species is a convenient starting point for a number of investigations into gene discovery, genome evolut...
Ronald L. Frank, Fikret Erçal
BMCBI
2004
126views more  BMCBI 2004»
13 years 5 months ago
Visualization and analysis of microarray and gene ontology data with treemaps
Background: The increasing complexity of genomic data presents several challenges for biologists. Limited computer monitor views of data complexity and the dynamic nature of data ...
Eric H. Baehrecke, Niem Dang, Ketan Babaria, Ben S...
BIODATAMINING
2008
178views more  BIODATAMINING 2008»
13 years 5 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje