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» Technologies for Integrating Biological Data
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BMCBI
2005
148views more  BMCBI 2005»
15 years 6 months ago
Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
Background: Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups. However, there is ...
Xin Gao, Peter X. K. Song
BIOADIT
2006
Springer
15 years 10 months ago
Robot Control: From Silicon Circuitry to Cells
Life-like adaptive behaviour is so far an illusive goal in robot control. A capability to act successfully in a complex, ambiguous, and harsh environment would vastly increase the ...
Soichiro Tsuda, Klaus-Peter Zauner, Yukio-Pegio Gu...
BMCBI
2008
93views more  BMCBI 2008»
15 years 6 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
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BMCBI
2006
114views more  BMCBI 2006»
15 years 6 months ago
A methodology for global validation of microarray experiments
Background: DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray st...
Mathieu Miron, Owen Z. Woody, Alexandre Marcil, Ca...
BMCBI
2004
153views more  BMCBI 2004»
15 years 6 months ago
Computational protein biomarker prediction: a case study for prostate cancer
Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...