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» Analysis of Proteomic Pattern Data for Cancer Detection
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134
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BMCBI
2005
116views more  BMCBI 2005»
15 years 3 months ago
Dynamic covariation between gene expression and proteome characteristics
Background: Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to ch...
Mansour Taghavi Azar Sharabiani, Markku Siermala, ...
111
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CSB
2005
IEEE
156views Bioinformatics» more  CSB 2005»
15 years 9 months ago
A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
139
Voted
BMCBI
2007
135views more  BMCBI 2007»
15 years 3 months ago
Detecting multivariate differentially expressed genes
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
Roland Nilsson, José M. Peña, Johan ...
122
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AUSAI
2003
Springer
15 years 8 months ago
A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images
Abstract. X-ray mammography is the current clinical method for screening for breast cancer, and like any technique, has its limitations. Several groups have reported differences i...
Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis
162
Voted
GECCO
2005
Springer
218views Optimization» more  GECCO 2005»
15 years 9 months ago
Particle swarm optimization for analysis of mass spectral serum profiles
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
Habtom W. Ressom, Rency S. Varghese, Daniel Saha, ...