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» Using Multiple Alignments to Improve Gene Prediction
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AINA
2006
IEEE
14 years 1 months ago
Partitioned optimization algorithms for multiple sequence alignment
Multiple sequence alignment is an important and difficult problem in molecular biology and bioinformatics. In this paper, we propose a partitioning approach that significantly impr...
Yixin Chen, Yi Pan, Juan Chen, Wei Liu, Ling Chen
BMCBI
2004
200views more  BMCBI 2004»
13 years 7 months ago
ABC: software for interactive browsing of genomic multiple sequence alignment data
Background: Alignment and comparison of related genome sequences is a powerful method to identify regions likely to contain functional elements. Such analyses are data intensive, ...
Gregory M. Cooper, Senthil A. G. Singaravelu, Aren...
MSS
2003
IEEE
104views Hardware» more  MSS 2003»
14 years 19 days ago
Using Multiple Predictors to Improve the Accuracy of File Access Predictions
Existing file access predictors keep track of previous file access patterns and rely on a single heuristic to predict which of the previous successors to the file being currently ...
Gary A. S. Whittle, Jehan-François Pâ...
BMCBI
2005
89views more  BMCBI 2005»
13 years 7 months ago
Theme discovery from gene lists for identification and viewing of multiple functional groups
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
Petri Pehkonen, Garry Wong, Petri Töröne...
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...