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» Randomized Algorithms for Motif Detection
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BMCBI
2006
202views more  BMCBI 2006»
13 years 8 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
BMCBI
2010
154views more  BMCBI 2010»
13 years 8 months ago
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Background: A major goal of molecular biology is determining the mechanisms that control the transcription of genes. Motif Enrichment Analysis (MEA) seeks to determine which DNA-b...
Robert C. McLeay, Timothy L. Bailey
CCECE
2006
IEEE
14 years 2 months ago
Evaluation of RNA Secondary Structure Motifs using Regression Analysis
Recent experimental evidences have shown that ribonucleic acid (RNA) plays a greater role in the cell than previously thought. An ensemble of RNA sequences believed to contain sig...
Mohammad Anwar, Marcel Turcotte
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 2 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
IJBC
2010
80views more  IJBC 2010»
13 years 5 months ago
Symbolic Dynamical Model of Average Queue Size of Random Early Detection Algorithm
In this paper, a symbolic dynamical model of the average queue size of the random early detection (RED) algorithm is proposed. The conditions on both the system parameters and the...
Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Herber...