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» Gait Sequence Analysis Using Frieze Patterns
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BMCBI
2006
159views more  BMCBI 2006»
13 years 10 months ago
MultiSeq: unifying sequence and structure data for evolutionary analysis
Background: Since the publication of the first draft of the human genome in 2000, bioinformatic data have been accumulating at an overwhelming pace. Currently, more than 3 million...
Elijah Roberts, John Eargle, Dan Wright, Zaida Lut...
ISMB
2000
13 years 11 months ago
Pattern Recognition of Genomic Features with Microarrays: Site Typing of Mycobacterium Tuberculosis Strains
Mycobacterium tuberculosis (M. tb.) strains differ in the number and locations of a transposon-like insertion sequence known as IS6110. Accurate detection of this sequence can be ...
Soumya Raychaudhuri, Joshua M. Stuart, Xuemin Liu,...
BPM
2007
Springer
125views Business» more  BPM 2007»
14 years 4 months ago
Semantic Analysis of Flow Patterns in Business Process Modeling
Control flow elements are important in process models. Such elements usually appear in graphic models as splits and joins of activity sequences. Workflow patterns reflect possible ...
Pnina Soffer, Yair Wand, Maya Kaner
ISMB
2000
13 years 11 months ago
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated
Determination of the functions of all expressed proteins represents one of the major upcoming challenges in computational molecular biology. Since subcellular location plays a cru...
Robert F. Murphy, Michael V. Boland, Meel Velliste
IDA
2005
Springer
14 years 3 months ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka