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R Coombes

Showing results (251-260 of 334) with videos related to

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Bioinformatics (Oxford, England)|June 5, 2019
Inferring clonal heterogeneity in cancer using SNP arrays and whole genome sequencingMark R Zucker, Lynne V Abruzzo, Carmen D Herling, et al.
BMC Bioinformatics|March 7, 2018
IntLIM: integration using linear models of metabolomics and gene expression dataJalal K Siddiqui, Elizabeth Baskin, Mingrui Liu, et al.
Bioinformatics (Oxford, England)|July 3, 2019
CytoGPS: a web-enabled karyotype analysis tool for cytogeneticsZachary B Abrams, Lin Zhang, Lynne V Abruzzo, et al.
Breast Cancer Research and Treatment|July 16, 2009
Clinical evaluation of chemotherapy response predictors developed from breast cancer cell linesCornelia Liedtke, Jing Wang, Attila Tordai, et al.
Bioinformatics (Oxford, England)|January 21, 2015
drexplorer: A tool to explore dose-response relationships and drug-drug interactionsPan Tong, Kevin R Coombes, Faye M Johnson, et al.
Cancer Informatics|May 21, 2016
Selecting Reliable mRNA Expression Measurements Across Platforms Improves Downstream AnalysisPan Tong, Lixia Diao, Li Shen, et al.
Journal of Hematology & Oncology|August 5, 2016
Epidermal growth factor receptor is expressed and active in a subset of acute myeloid leukemiaHasan Mahmud, Steven M Kornblau, Arja Ter Elst, et al.
The Journal of Molecular Diagnostics : JMD|July 29, 2005
Biological validation of differentially expressed genes in chronic lymphocytic leukemia identified by applying multiple statistical methods to oligonucleotide microarraysLynne V Abruzzo, Jing Wang, Mini Kapoor, et al.
Surgery|November 4, 2004
Association between ductal fluid proteomic expression profiles and the presence of lymph node metastases in women with breast cancerHenry M Kuerer, Kevin R Coombes, Jeng-Neng Chen, et al.
Haematologica|July 7, 2018
Trisomy 12 chronic lymphocytic leukemia expresses a unique set of activated and targetable pathwaysLynne V Abruzzo, Carmen D Herling, George A Calin, et al.
Pageof 34

Showing results (251-260 of 334) with videos related to

Sort By:
Pageof 34
Bioinformatics (Oxford, England)|June 5, 2019
Inferring clonal heterogeneity in cancer using SNP arrays and whole genome sequencingMark R Zucker, Lynne V Abruzzo, Carmen D Herling, et al.
BMC Bioinformatics|March 7, 2018
IntLIM: integration using linear models of metabolomics and gene expression dataJalal K Siddiqui, Elizabeth Baskin, Mingrui Liu, et al.
Bioinformatics (Oxford, England)|July 3, 2019
CytoGPS: a web-enabled karyotype analysis tool for cytogeneticsZachary B Abrams, Lin Zhang, Lynne V Abruzzo, et al.
Breast Cancer Research and Treatment|July 16, 2009
Clinical evaluation of chemotherapy response predictors developed from breast cancer cell linesCornelia Liedtke, Jing Wang, Attila Tordai, et al.
Bioinformatics (Oxford, England)|January 21, 2015
drexplorer: A tool to explore dose-response relationships and drug-drug interactionsPan Tong, Kevin R Coombes, Faye M Johnson, et al.
Cancer Informatics|May 21, 2016
Selecting Reliable mRNA Expression Measurements Across Platforms Improves Downstream AnalysisPan Tong, Lixia Diao, Li Shen, et al.
Journal of Hematology & Oncology|August 5, 2016
Epidermal growth factor receptor is expressed and active in a subset of acute myeloid leukemiaHasan Mahmud, Steven M Kornblau, Arja Ter Elst, et al.
The Journal of Molecular Diagnostics : JMD|July 29, 2005
Biological validation of differentially expressed genes in chronic lymphocytic leukemia identified by applying multiple statistical methods to oligonucleotide microarraysLynne V Abruzzo, Jing Wang, Mini Kapoor, et al.
Surgery|November 4, 2004
Association between ductal fluid proteomic expression profiles and the presence of lymph node metastases in women with breast cancerHenry M Kuerer, Kevin R Coombes, Jeng-Neng Chen, et al.
Haematologica|July 7, 2018
Trisomy 12 chronic lymphocytic leukemia expresses a unique set of activated and targetable pathwaysLynne V Abruzzo, Carmen D Herling, George A Calin, et al.
Pageof 34