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Cancer informatics

Showing results (91-100 of 716) with videos related to

Pageof 72
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Cancer Informatics|May 12, 2010
Expression a la bimodeJames C Willey
Cancer Informatics|March 5, 2009
Constructing tumor progression pathways and biomarker discovery with fuzzy kernel kmeans and DNA methylation dataZhenqiu Liu, Zhongmin Guo, Ming Tan
Cancer Informatics|March 5, 2009
Evaluating microarray-based classifiers: an overviewA-L Boulesteix, C Strobl, T Augustin, et al.
Cancer Informatics|March 5, 2009
Uncovering biological network function via graphlet degree signaturesTijana Milenković, Natasa Przulj
Cancer Informatics|March 5, 2009
The anti-tumour agent, cisplatin, and its clinically ineffective isomer, transplatin, produce unique gene expression profiles in human cellsAnne M Galea, Vincent Murray
Cancer Informatics|March 5, 2009
What does PLIER really do?Terry M Therneau, Karla V Ballman
Cancer Informatics|March 5, 2009
Algorithmic discovery of methylation "hot spots" in DNA from lymphoma patientsChris Papageorgio, Robert Harrison, Farahnaz B Rahmatpanah, et al.
Cancer Informatics|March 24, 2009
Understanding the characteristics of mass spectrometry data through the use of simulationKevin R Coombes, John M Koomen, Keith A Baggerly, et al.
Cancer Informatics|March 24, 2009
Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studiesJames Lyons-Weiler, Richard Pelikan, Herbert J Zeh, et al.
Cancer Informatics|May 21, 2009
CGHregions: dimension reduction for array CGH data with minimal information lossMark A van de Wiel, Wessel N van Wieringen
Pageof 72

Showing results (91-100 of 716) with videos related to

Sort By:
Pageof 72
Cancer Informatics|May 12, 2010
Expression a la bimodeJames C Willey
Cancer Informatics|March 5, 2009
Constructing tumor progression pathways and biomarker discovery with fuzzy kernel kmeans and DNA methylation dataZhenqiu Liu, Zhongmin Guo, Ming Tan
Cancer Informatics|March 5, 2009
Evaluating microarray-based classifiers: an overviewA-L Boulesteix, C Strobl, T Augustin, et al.
Cancer Informatics|March 5, 2009
Uncovering biological network function via graphlet degree signaturesTijana Milenković, Natasa Przulj
Cancer Informatics|March 5, 2009
The anti-tumour agent, cisplatin, and its clinically ineffective isomer, transplatin, produce unique gene expression profiles in human cellsAnne M Galea, Vincent Murray
Cancer Informatics|March 5, 2009
What does PLIER really do?Terry M Therneau, Karla V Ballman
Cancer Informatics|March 5, 2009
Algorithmic discovery of methylation "hot spots" in DNA from lymphoma patientsChris Papageorgio, Robert Harrison, Farahnaz B Rahmatpanah, et al.
Cancer Informatics|March 24, 2009
Understanding the characteristics of mass spectrometry data through the use of simulationKevin R Coombes, John M Koomen, Keith A Baggerly, et al.
Cancer Informatics|March 24, 2009
Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studiesJames Lyons-Weiler, Richard Pelikan, Herbert J Zeh, et al.
Cancer Informatics|May 21, 2009
CGHregions: dimension reduction for array CGH data with minimal information lossMark A van de Wiel, Wessel N van Wieringen
Pageof 72