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» On Complexity Measures for Biological Sequences
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BIOCOMP
2008
14 years 11 months ago
Bioinformatics Tools: Searching for Markers in DNA/RNA Sequences
Research in bioinformatics and computational biology relies heavily on algorithms that facilitate the understanding of biological processes through the application of statistical ...
Kuha Mahalingam, Omar Bagasra
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
14 years 11 months ago
A Compression Based Distance Measure for Texture
The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...
Bilson J. L. Campana, Eamonn J. Keogh
BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
15 years 3 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski
BMCBI
2010
103views more  BMCBI 2010»
14 years 9 months ago
MTRAP: Pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of r
Background: Sequence alignment is one of the most important techniques to analyze biological systems. It is also true that the alignment is not complete and we have to develop it ...
Toshihide Hara, Keiko Sato, Masanori Ohya
ECAI
2004
Springer
15 years 2 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana