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Biotechniques
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March 5, 2003
RNA amplification strategies for cDNA microarray experiments
J Wang, L Hu, S R Hamilton, et al.
Endocrine-Related Cancer
|
December 23, 2004
High-resolution serum proteomic patterns for ovarian cancer detection
K A Baggerly, S R Edmonson, J S Morris, et al.
Trends in Biotechnology
|
October 17, 2001
Microarrays: handling the deluge of data and extracting reliable information
K R Hess, W Zhang, K A Baggerly, et al.
Bioinformatics (Oxford, England)
|
July 3, 2004
Differences in gene expression between B-cell chronic lymphocytic leukemia and normal B cells: a meta-analysis of three microarray studies
J Wang, K R Coombes, W E Highsmith, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
August 8, 2001
Cancer genomics: promises and complexities
W Zhang, P M Labordé, K R Coombes, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
December 19, 2001
Identifying differentially expressed genes in cDNA microarray experiments
K A Baggerly, K R Coombes, K R Hess, et al.
Genome Biology
|
December 12, 2001
Sources of nonlinearity in cDNA microarray expression measurements
L Ramdas, K R Coombes, K Baggerly, et al.
Transfusion
|
May 1, 1990
Blood use during extracorporeal membrane oxygenation
D McCoy-Pardington, W J Judd, P Knafl, et al.
Leukemia
|
December 27, 2014
Biological properties of ligand-dependent activation of the MET receptor kinase in acute myeloid leukemia
S F McGee, S M Kornblau, Y Qiu, et al.
Nature Biomedical Engineering
|
April 17, 2019
A quantitative analysis of heterogeneities and hallmarks in acute myelogenous leukaemia
C W Hu, Y Qiu, A Ligeralde, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Biotechniques
|
March 5, 2003
RNA amplification strategies for cDNA microarray experiments
J Wang, L Hu, S R Hamilton, et al.
Endocrine-Related Cancer
|
December 23, 2004
High-resolution serum proteomic patterns for ovarian cancer detection
K A Baggerly, S R Edmonson, J S Morris, et al.
Trends in Biotechnology
|
October 17, 2001
Microarrays: handling the deluge of data and extracting reliable information
K R Hess, W Zhang, K A Baggerly, et al.
Bioinformatics (Oxford, England)
|
July 3, 2004
Differences in gene expression between B-cell chronic lymphocytic leukemia and normal B cells: a meta-analysis of three microarray studies
J Wang, K R Coombes, W E Highsmith, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
August 8, 2001
Cancer genomics: promises and complexities
W Zhang, P M Labordé, K R Coombes, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
December 19, 2001
Identifying differentially expressed genes in cDNA microarray experiments
K A Baggerly, K R Coombes, K R Hess, et al.
Genome Biology
|
December 12, 2001
Sources of nonlinearity in cDNA microarray expression measurements
L Ramdas, K R Coombes, K Baggerly, et al.
Transfusion
|
May 1, 1990
Blood use during extracorporeal membrane oxygenation
D McCoy-Pardington, W J Judd, P Knafl, et al.
Leukemia
|
December 27, 2014
Biological properties of ligand-dependent activation of the MET receptor kinase in acute myeloid leukemia
S F McGee, S M Kornblau, Y Qiu, et al.
Nature Biomedical Engineering
|
April 17, 2019
A quantitative analysis of heterogeneities and hallmarks in acute myelogenous leukaemia
C W Hu, Y Qiu, A Ligeralde, et al.
Page
of 2