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EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 8 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
BMCBI
2008
133views more  BMCBI 2008»
15 years 4 months ago
CORE_TF: a user-friendly interface to identify evolutionary conserved transcription factor binding sites in sets of co-regulated
Background: The identification of transcription factor binding sites is difficult since they are only a small number of nucleotides in size, resulting in large numbers of false po...
Matthew S. Hestand, Michiel van Galen, Michel P. V...
GPEM
2007
113views more  GPEM 2007»
15 years 4 months ago
An evolutionary approach to cancer chemotherapy scheduling
In this paper, we investigate the employment of evolutionary algorithms as a search mechanism in a decision support system for designing chemotherapy schedules. Chemotherapy invol...
Gabriela Ochoa, Minaya Villasana, Edmund K. Burke
CEC
2010
IEEE
15 years 6 months ago
Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules
Abstract-- Exploring microRNA (miRNA) and mRNA regulatory interactions may give new insights into diverse biological phenomena. While elucidating complex miRNA-mRNA interactions ha...
Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhan...
130
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BMCBI
2008
176views more  BMCBI 2008»
15 years 4 months ago
H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
Rainer Merkl, Matthias Zwick