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158
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BMCBI
2011
14 years 7 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
177
Voted
ISPDC
2008
IEEE
15 years 10 months ago
Performance Analysis of Grid DAG Scheduling Algorithms using MONARC Simulation Tool
This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...
Florin Pop, Ciprian Dobre, Valentin Cristea
136
Voted
BMCBI
2006
153views more  BMCBI 2006»
15 years 3 months ago
Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling
Background: It is one of the ultimate goals for modern biological research to fully elucidate the intricate interplays and the regulations of the molecular determinants that prope...
Xia Li, Shaoqi Rao, Wei Jiang, Chuanxing Li, Yun X...
168
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ATAL
2007
Springer
15 years 9 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
BMEI
2008
IEEE
15 years 5 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...