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Keith A Baggerly

Showing results (11-20 of 92) with videos related to

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Bioinformatics (Oxford, England)|August 13, 2003
Differential expression in SAGE: accounting for normal between-library variationKeith A Baggerly, Li Deng, Jeffrey S Morris, et al.
Briefings in Functional Genomics & Proteomics|April 9, 2005
The importance of experimental design in proteomic mass spectrometry experiments: some cautionary talesJianhua Hu, Kevin R Coombes, Jeffrey S Morris, et al.
BMC Bioinformatics|October 8, 2004
Overdispersed logistic regression for SAGE: modelling multiple groups and covariatesKeith A Baggerly, Li Deng, Jeffrey S Morris, et al.
Journal of the National Cancer Institute|February 17, 2005
Signal in noise: evaluating reported reproducibility of serum proteomic tests for ovarian cancerKeith A Baggerly, Jeffrey S Morris, Sarah R Edmonson, et al.
Bioinformatics (Oxford, England)|April 2, 2009
Variable slope normalization of reverse phase protein arraysE Shannon Neeley, Steven M Kornblau, Kevin R Coombes, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2010
Statistical contributions to proteomic researchJeffrey S Morris, Keith A Baggerly, Howard B Gutstein, et al.
Bioinformatics (Oxford, England)|January 28, 2005
Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrumJeffrey S Morris, Kevin R Coombes, John Koomen, et al.
F1000Research|April 5, 2014
illuminaio: An open source IDAT parsing tool for Illumina microarraysMike L Smith, Keith A Baggerly, Henrik Bengtsson, et al.
Nature Biotechnology|March 15, 2005
Serum proteomics profiling--a young technology begins to matureKevin R Coombes, Jeffrey S Morris, Jianhua Hu, et al.
Journal of the National Cancer Institute|August 22, 2013
Independent validation of a model using cell line chemosensitivity to predict response to therapyWenting Wang, Keith A Baggerly, Steen Knudsen, et al.
Pageof 10

Showing results (11-20 of 92) with videos related to

Sort By:
Pageof 10
Bioinformatics (Oxford, England)|August 13, 2003
Differential expression in SAGE: accounting for normal between-library variationKeith A Baggerly, Li Deng, Jeffrey S Morris, et al.
Briefings in Functional Genomics & Proteomics|April 9, 2005
The importance of experimental design in proteomic mass spectrometry experiments: some cautionary talesJianhua Hu, Kevin R Coombes, Jeffrey S Morris, et al.
BMC Bioinformatics|October 8, 2004
Overdispersed logistic regression for SAGE: modelling multiple groups and covariatesKeith A Baggerly, Li Deng, Jeffrey S Morris, et al.
Journal of the National Cancer Institute|February 17, 2005
Signal in noise: evaluating reported reproducibility of serum proteomic tests for ovarian cancerKeith A Baggerly, Jeffrey S Morris, Sarah R Edmonson, et al.
Bioinformatics (Oxford, England)|April 2, 2009
Variable slope normalization of reverse phase protein arraysE Shannon Neeley, Steven M Kornblau, Kevin R Coombes, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2010
Statistical contributions to proteomic researchJeffrey S Morris, Keith A Baggerly, Howard B Gutstein, et al.
Bioinformatics (Oxford, England)|January 28, 2005
Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrumJeffrey S Morris, Kevin R Coombes, John Koomen, et al.
F1000Research|April 5, 2014
illuminaio: An open source IDAT parsing tool for Illumina microarraysMike L Smith, Keith A Baggerly, Henrik Bengtsson, et al.
Nature Biotechnology|March 15, 2005
Serum proteomics profiling--a young technology begins to matureKevin R Coombes, Jeffrey S Morris, Jianhua Hu, et al.
Journal of the National Cancer Institute|August 22, 2013
Independent validation of a model using cell line chemosensitivity to predict response to therapyWenting Wang, Keith A Baggerly, Steen Knudsen, et al.
Pageof 10