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Ingrid Hedenfalk

Showing results (1-10 of 67) with videos related to

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Breast Cancer Research : BCR|August 10, 2006
High-throughput genomic technology in research and clinical management of breast cancer. Molecular signatures of progression from benign epithelium to metastatic breast cancerKarin Rennstam, Ingrid Hedenfalk
Oncotarget|October 22, 2020
Simvastatin is a potential candidate drug in ovarian clear cell carcinomasNicolai Skovbjerg Arildsen, Ingrid Hedenfalk
Seminars in Cancer Biology|August 31, 2015
Clinical and molecular complexity of breast cancer metastasesSiker Kimbung, Niklas Loman, Ingrid Hedenfalk
Plos One|November 7, 2013
The landscape of candidate driver genes differs between male and female breast cancerIda Johansson, Markus Ringnér, Ingrid Hedenfalk
Breast Cancer Research : BCR|February 19, 2021
Regulatory T lymphocyte infiltration in metastatic breast cancer-an independent prognostic factor that changes with tumor progressionJenny Stenström, Ingrid Hedenfalk, Catharina Hagerling
BMC Molecular Biology|May 24, 2007
RNA quality in frozen breast cancer samples and the influence on gene expression analysis--a comparison of three evaluation methods using microcapillary electrophoresis tracesCarina Strand, Johan Enell, Ingrid Hedenfalk, et al.
Oncotarget|December 21, 2019
Crizotinib and PARP inhibitors act synergistically by triggering apoptosis in high-grade serous ovarian cancerIrem Durmaz Sahin, Jenny-Maria Jönsson, Ingrid Hedenfalk
The International Journal of Biochemistry & Cell Biology|May 21, 2014
Molecular profiling of male breast cancer - lost in translation?Ida Johansson, Fredrika Killander, Barbro Linderholm, et al.
BMC Research Notes|March 23, 2011
Laser capture microdissection (LCM) and whole genome amplification (WGA) of DNA from normal breast tissue --- optimization for genome wide array analysesKristina E Aaltonen, Anna Ebbesson, Caroline Wigerup, et al.
Computational and Structural Biotechnology Journal|February 3, 2023
A deep tabular data learning model predicting cisplatin sensitivity identifies BCL2L1 dependency in cancerAhmad Nasimian, Mehreen Ahmed, Ingrid Hedenfalk, et al.
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
Breast Cancer Research : BCR|August 10, 2006
High-throughput genomic technology in research and clinical management of breast cancer. Molecular signatures of progression from benign epithelium to metastatic breast cancerKarin Rennstam, Ingrid Hedenfalk
Oncotarget|October 22, 2020
Simvastatin is a potential candidate drug in ovarian clear cell carcinomasNicolai Skovbjerg Arildsen, Ingrid Hedenfalk
Seminars in Cancer Biology|August 31, 2015
Clinical and molecular complexity of breast cancer metastasesSiker Kimbung, Niklas Loman, Ingrid Hedenfalk
Plos One|November 7, 2013
The landscape of candidate driver genes differs between male and female breast cancerIda Johansson, Markus Ringnér, Ingrid Hedenfalk
Breast Cancer Research : BCR|February 19, 2021
Regulatory T lymphocyte infiltration in metastatic breast cancer-an independent prognostic factor that changes with tumor progressionJenny Stenström, Ingrid Hedenfalk, Catharina Hagerling
BMC Molecular Biology|May 24, 2007
RNA quality in frozen breast cancer samples and the influence on gene expression analysis--a comparison of three evaluation methods using microcapillary electrophoresis tracesCarina Strand, Johan Enell, Ingrid Hedenfalk, et al.
Oncotarget|December 21, 2019
Crizotinib and PARP inhibitors act synergistically by triggering apoptosis in high-grade serous ovarian cancerIrem Durmaz Sahin, Jenny-Maria Jönsson, Ingrid Hedenfalk
The International Journal of Biochemistry & Cell Biology|May 21, 2014
Molecular profiling of male breast cancer - lost in translation?Ida Johansson, Fredrika Killander, Barbro Linderholm, et al.
BMC Research Notes|March 23, 2011
Laser capture microdissection (LCM) and whole genome amplification (WGA) of DNA from normal breast tissue --- optimization for genome wide array analysesKristina E Aaltonen, Anna Ebbesson, Caroline Wigerup, et al.
Computational and Structural Biotechnology Journal|February 3, 2023
A deep tabular data learning model predicting cisplatin sensitivity identifies BCL2L1 dependency in cancerAhmad Nasimian, Mehreen Ahmed, Ingrid Hedenfalk, et al.
Pageof 7