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» Learning Methods for DNA Binding in Computational Biology
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APBC
2004
116views Bioinformatics» more  APBC 2004»
14 years 11 months ago
Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors
Transcription factors play essential role in the gene regulation in higher organisms, binding to multiple target sequences and regulating multiple genes in a complex manner. In or...
Akinori Sarai, Samuel Selvaraj, M. Michael Gromiha...
IJFCS
2006
130views more  IJFCS 2006»
14 years 9 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
RECOMB
2007
Springer
15 years 10 months ago
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data
Genetic instability represents an important type of biological markers for cancer and many other diseases. Array Comparative Genome Hybridization (aCGH) is a high-throughput cytoge...
Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
TSMC
2008
93views more  TSMC 2008»
14 years 9 months ago
Selection of DNA Markers
Given a genome, i.e., a long string over a fixed finite alphabet, the problem is to find short (dis)similar substrings. This computationally intensive task has many biological appl...
Hendrik Jan Hoogeboom, Walter A. Kosters, Jeroen F...
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BMCBI
2006
136views more  BMCBI 2006»
14 years 9 months ago
EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences
Background: Understanding gene regulatory networks has become one of the central research problems in bioinformatics. More than thirty algorithms have been proposed to identify DN...
Jianjun Hu, Yifeng D. Yang, Daisuke Kihara