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A Hoadley

Showing results (61-70 of 191) with videos related to

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NPJ Digital Medicine|January 16, 2026
Towards interpretable prediction of recurrence risk in breast cancer using pathology foundation modelsJakub R Kaczmarzyk, Sarah C Van Alsten, Alyssa J Cozzo, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 11, 2019
Using RNA Sequencing to Characterize the Tumor MicroenvironmentC C Smith, L M Bixby, K L Miller, et al.
Cancer Research Communications|March 27, 2023
Incorporating RNA-based Risk Scores for Genomic Instability to Predict Breast Cancer Recurrence and Immunogenicity in a Diverse PopulationAlina M Hamilton, Sarah C Van Alsten, Xiaohua Gao, et al.
G3 (Bethesda, Md.)|February 19, 2026
Hepatocyte-targeted Bap1 reduction in the liver primes an inflammatory transcriptional responseWilliam C Nenad, Peyton C Kuhlers, Ian R Sturgill, et al.
BMC Genomics|January 30, 2020
Virus expression detection reveals RNA-sequencing contamination in TCGASara R Selitsky, David Marron, Daniel Hollern, et al.
Nature Communications|January 13, 2021
SCISSOR: a framework for identifying structural changes in RNA transcriptsHyo Young Choi, Heejoon Jo, Xiaobei Zhao, et al.
Cell Reports|December 22, 2015
Oncometabolite D-2-Hydroxyglutarate Inhibits ALKBH DNA Repair Enzymes and Sensitizes IDH Mutant Cells to Alkylating AgentsPu Wang, Jing Wu, Shenghong Ma, et al.
Genome Medicine|May 30, 2019
Prognostic value of B cells in cutaneous melanomaSara R Selitsky, Lisle E Mose, Christof C Smith, et al.
Cancer Research|June 19, 2004
Cell-type-specific responses to chemotherapeutics in breast cancerMelissa A Troester, Katherine A Hoadley, Therese Sørlie, et al.
NPJ Breast Cancer|June 27, 2017
Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cellsJacquelyn J Bower, Leah D Vance, Matthew Psioda, et al.
Pageof 20

Showing results (61-70 of 191) with videos related to

Sort By:
Pageof 20
NPJ Digital Medicine|January 16, 2026
Towards interpretable prediction of recurrence risk in breast cancer using pathology foundation modelsJakub R Kaczmarzyk, Sarah C Van Alsten, Alyssa J Cozzo, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 11, 2019
Using RNA Sequencing to Characterize the Tumor MicroenvironmentC C Smith, L M Bixby, K L Miller, et al.
Cancer Research Communications|March 27, 2023
Incorporating RNA-based Risk Scores for Genomic Instability to Predict Breast Cancer Recurrence and Immunogenicity in a Diverse PopulationAlina M Hamilton, Sarah C Van Alsten, Xiaohua Gao, et al.
G3 (Bethesda, Md.)|February 19, 2026
Hepatocyte-targeted Bap1 reduction in the liver primes an inflammatory transcriptional responseWilliam C Nenad, Peyton C Kuhlers, Ian R Sturgill, et al.
BMC Genomics|January 30, 2020
Virus expression detection reveals RNA-sequencing contamination in TCGASara R Selitsky, David Marron, Daniel Hollern, et al.
Nature Communications|January 13, 2021
SCISSOR: a framework for identifying structural changes in RNA transcriptsHyo Young Choi, Heejoon Jo, Xiaobei Zhao, et al.
Cell Reports|December 22, 2015
Oncometabolite D-2-Hydroxyglutarate Inhibits ALKBH DNA Repair Enzymes and Sensitizes IDH Mutant Cells to Alkylating AgentsPu Wang, Jing Wu, Shenghong Ma, et al.
Genome Medicine|May 30, 2019
Prognostic value of B cells in cutaneous melanomaSara R Selitsky, Lisle E Mose, Christof C Smith, et al.
Cancer Research|June 19, 2004
Cell-type-specific responses to chemotherapeutics in breast cancerMelissa A Troester, Katherine A Hoadley, Therese Sørlie, et al.
NPJ Breast Cancer|June 27, 2017
Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cellsJacquelyn J Bower, Leah D Vance, Matthew Psioda, et al.
Pageof 20