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» Clustering Genes Using Heterogeneous Data Sources
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ICA
2007
Springer
15 years 7 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
187
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ISSADS
2005
Springer
15 years 8 months ago
Database System Architecture - A Walk Through Time: From Centralized Platform to Mobile Computing - Keynote Address
Classical distributed database systems monolithically offer distribution transparency and higher performance. This is made possible by making data available and closer to the appl...
Ali R. Hurson, Yu Jiao
BMCBI
2005
94views more  BMCBI 2005»
15 years 3 months ago
Visualization-based discovery and analysis of genomic aberrations in microarray data
Background: Chromosomal copy number changes (aneuploidies) play a key role in cancer progression and molecular evolution. These copy number changes can be studied using microarray...
Chad L. Myers, Xing Chen, Olga G. Troyanskaya
BMCBI
2010
135views more  BMCBI 2010»
15 years 3 months ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
15 years 8 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi