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» Evaluation of clustering algorithms for gene expression data
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207
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BMCBI
2006
103views more  BMCBI 2006»
15 years 7 months ago
Statistical inference of chromosomal homology based on gene colinearity and applications to Arabidopsis and rice
Background: The identification of chromosomal homology will shed light on such mysteries of genome evolution as DNA duplication, rearrangement and loss. Several approaches have be...
Xiyin Wang, Xiaoli Shi, Zhe Li, Qihui Zhu, Lei Kon...
207
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ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
16 years 1 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
185
Voted
EVOW
2007
Springer
16 years 1 months ago
Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data
In liquid chromatography-mass spectrometry (LC-MS) based expression proteomics, samples from different groups are analyzed comparatively in order to detect differences that can p...
Marius C. Codrea, Connie R. Jimenez, Sander R. Pie...
182
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SAC
2008
ACM
15 years 6 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
AMDO
2010
Springer
15 years 3 months ago
Analysing the Influence of Vertex Clustering on PCA-Based Dynamic Mesh Compression
Abstract. The growth of computational power of contemporary hardware causes technologies working with 3D-data to expand. Examples of the use of this kind of data can be found in ge...
Jan Rus, Libor Vása