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PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
16 years 21 days ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
PADL
2009
Springer
16 years 6 months ago
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Ketil Malde, Bryan O'Sullivan
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
16 years 29 days ago
ChemAlign: Biologically Relevant Multiple Sequence Alignment Using Physicochemical Properties
—We present a new algorithm, ChemAlign, that uses physicochemical properties and secondary structure elements to create biologically relevant multiple sequence alignments (MSAs)....
Hyrum Carroll, Mark J. Clement, Quinn Snell, David...
BIBE
2005
IEEE
15 years 11 months ago
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets
One of the major problems in biological data integration is that many data sources are stored as flat-files, with a variety of different layouts. Integrating data from such sour...
Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agra...
BIBM
2009
IEEE
113views Bioinformatics» more  BIBM 2009»
15 years 9 months ago
Fast Motif Selection for Biological Sequences
—We consider the problem of identifying motifs, recurring or conserved patterns, in the sets of biological sequences. To solve this task, we present new deterministic and exact a...
Pavel P. Kuksa, Vladimir Pavlovic