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» Discovering Evolving Regions in Life Science Ontologies
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DIS
2007
Springer
13 years 11 months ago
Literature-Based Discovery by an Enhanced Information Retrieval Model
The massive, ever-growing literature in life science makes it increasingly difficult for individuals to grasp all the information relevant to their interests. Since even experts’...
Kazuhiro Seki, Javed Mostafa
GI
2008
Springer
13 years 6 months ago
Semantically linking web pages to web services in Bioinformatics
: A key application area of semantic technologies is the fast-developing field of bioinformatics. Sealife is a project within this field with the aim of creating semanticsbased w...
Karen Sutherland, Kenneth McLeod, Albert Burger
RECOMB
2003
Springer
14 years 5 months ago
Whole-genome comparative annotation and regulatory motif discovery in multiple yeast species
In [13] we reported the genome sequences of S. paradoxus, S. mikatae and S. bayanus and compared these three yeast species to their close relative, S. cerevisiae. Genome-wide comp...
Manolis Kamvysselis, Nick Patterson, Bruce Birren,...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 5 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 9 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba