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» Algorithms for Finding Gene Clusters
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149
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EUSFLAT
2009
194views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
A Fuzzy Particle Swarm Optimization Algorithm for a Cell Formation Problem
Group technology (GT) is a useful way to increase productivity with high quality in cellular manufacturing systems (CMSs), in which cell formation (CF) is a key step in the GT phil...
Esmaeil Mehdizadeh, Reza Tavakkoli-Moghaddam
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 3 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
110
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WSC
2004
15 years 4 months ago
An Event Graph Based Simulation and Scheduling Analysis of Multi-Cluster Tools
Simulation methods are extensively used in modeling complex scheduling problems. However, traditional layout of simulation models can become complicated when they are used to find...
Shengwei Ding, Jingang Yi
153
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BMCBI
2010
154views more  BMCBI 2010»
15 years 29 days ago
Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation
Background: External stimulations of cells by hormones, cytokines or growth factors activate signal transduction pathways that subsequently induce a re-arrangement of cellular gen...
Andreas Kowarsch, Florian Blöchl, Sebastian B...
127
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COMPLIFE
2005
Springer
15 years 9 months ago
Robust Perron Cluster Analysis for Various Applications in Computational Life Science
In the present paper we explain the basic ideas of Robust Perron Cluster Analysis (PCCA+) and exemplify the different application areas of this new and powerful method. Recently, ...
Marcus Weber, Susanna Kube