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Erik N Bergstrom

Showing results (1-10 of 32) with videos related to

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Nature Cancer|August 12, 2024
Enhanced precision in immunotherapyErik N Bergstrom, Ludmil B Alexandrov
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|November 18, 2024
Reply to: Optimizing DeepHRD Interpretability for Enhanced Clinical Decision MakingErik N Bergstrom, Scott M Lippman, Ludmil B Alexandrov
Bioinformatics (Oxford, England)|May 20, 2022
Examining clustered somatic mutations with SigProfilerClustersErik N Bergstrom, Mousumy Kundu, Noura Tbeileh, et al.
BMC Bioinformatics|October 8, 2020
Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulatorErik N Bergstrom, Mark Barnes, Iñigo Martincorena, et al.
Cell Reports|August 4, 2023
Topography of mutational signatures in human cancerBurçak Otlu, Marcos Díaz-Gay, Ian Vermes, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|July 31, 2024
Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic SlidesErik N Bergstrom, Ammal Abbasi, Marcos Díaz-Gay, et al.
BMC Genomics|September 1, 2019
SigProfilerMatrixGenerator: a tool for visualizing and exploring patterns of small mutational eventsErik N Bergstrom, Mi Ni Huang, Uma Mahto, et al.
Cancer Research|May 6, 2025
HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing DataAmmal Abbasi, Christopher D Steele, Erik N Bergstrom, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Detecting HRD in whole-genome and whole-exome sequenced breast and ovarian cancersAmmal Abbasi, Christopher D Steele, Erik N Bergstrom, et al.
Biorxiv : the Preprint Server for Biology|February 13, 2023
Visualizing and exploring patterns of large mutational events with SigProfilerMatrixGeneratorAzhar Khandekar, Raviteja Vangara, Mark Barnes, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Nature Cancer|August 12, 2024
Enhanced precision in immunotherapyErik N Bergstrom, Ludmil B Alexandrov
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|November 18, 2024
Reply to: Optimizing DeepHRD Interpretability for Enhanced Clinical Decision MakingErik N Bergstrom, Scott M Lippman, Ludmil B Alexandrov
Bioinformatics (Oxford, England)|May 20, 2022
Examining clustered somatic mutations with SigProfilerClustersErik N Bergstrom, Mousumy Kundu, Noura Tbeileh, et al.
BMC Bioinformatics|October 8, 2020
Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulatorErik N Bergstrom, Mark Barnes, Iñigo Martincorena, et al.
Cell Reports|August 4, 2023
Topography of mutational signatures in human cancerBurçak Otlu, Marcos Díaz-Gay, Ian Vermes, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|July 31, 2024
Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic SlidesErik N Bergstrom, Ammal Abbasi, Marcos Díaz-Gay, et al.
BMC Genomics|September 1, 2019
SigProfilerMatrixGenerator: a tool for visualizing and exploring patterns of small mutational eventsErik N Bergstrom, Mi Ni Huang, Uma Mahto, et al.
Cancer Research|May 6, 2025
HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing DataAmmal Abbasi, Christopher D Steele, Erik N Bergstrom, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Detecting HRD in whole-genome and whole-exome sequenced breast and ovarian cancersAmmal Abbasi, Christopher D Steele, Erik N Bergstrom, et al.
Biorxiv : the Preprint Server for Biology|February 13, 2023
Visualizing and exploring patterns of large mutational events with SigProfilerMatrixGeneratorAzhar Khandekar, Raviteja Vangara, Mark Barnes, et al.
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