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Ehsan Irajizad

Showing results (1-10 of 60) with videos related to

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Journal of the National Cancer Institute|September 3, 2025
Breast cancer risk assessment: current challenges and the emerging role of blood-based protein biomarkersEhsan Irajizad, Sam Hanash
Biomechanics and Modeling in Mechanobiology|August 22, 2017
Vesicle adhesion reveals novel universal relationships for biophysical characterizationEhsan Irajizad, Ashutosh Agrawal
Molecular Biology of the Cell|November 1, 2018
Geometric instability catalyzes mitochondrial fissionEhsan Irajizad, Rajesh Ramachandran, Ashutosh Agrawal
Soft Matter|January 27, 2017
Clathrin polymerization exhibits high mechano-geometric sensitivityEhsan Irajizad, Nikhil Walani, Sarah L Veatch, et al.
Biorxiv : the Preprint Server for Biology|April 25, 2024
A novel method to guide biomarker combinations to optimize the sensitivitySeyyed Mahmood Ghasem, Johannes F Fahrmann, Samir Hanash, et al.
Bioinformatics (Oxford, England)|January 17, 2023
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomesLicai Huang, James P Long, Ehsan Irajizad, et al.
Cancer Prevention Research (Philadelphia, Pa.)|December 2, 2024
A Novel Sensitivity Maximization at a Given Specificity Method for Binary ClassificationsSeyyed Mahmood Ghasemi, Chunhui Gu, Johannes F Fahrmann, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|September 25, 2025
SMAGS-LASSO: A Novel Feature Selection Method for Sensitivity Maximization in Early Cancer DetectionHamid Khoshfekr Rudsari, Sara Khorami-Sarvestani, Johannes F Fahrmann, et al.
Briefings in Bioinformatics|September 1, 2025
AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genesHongxu Zhu, Amir Asiaee, Leila Azinfar, et al.
Biorxiv : the Preprint Server for Biology|March 31, 2025
AUC-PR is a More Informative Metric for Assessing the Biological Relevance of In Silico Cellular Perturbation Prediction ModelsHongxu Zhu, Amir Asiaee, Leila Azinfar, et al.
Pageof 6

Showing results (1-10 of 60) with videos related to

Sort By:
Pageof 6
Journal of the National Cancer Institute|September 3, 2025
Breast cancer risk assessment: current challenges and the emerging role of blood-based protein biomarkersEhsan Irajizad, Sam Hanash
Biomechanics and Modeling in Mechanobiology|August 22, 2017
Vesicle adhesion reveals novel universal relationships for biophysical characterizationEhsan Irajizad, Ashutosh Agrawal
Molecular Biology of the Cell|November 1, 2018
Geometric instability catalyzes mitochondrial fissionEhsan Irajizad, Rajesh Ramachandran, Ashutosh Agrawal
Soft Matter|January 27, 2017
Clathrin polymerization exhibits high mechano-geometric sensitivityEhsan Irajizad, Nikhil Walani, Sarah L Veatch, et al.
Biorxiv : the Preprint Server for Biology|April 25, 2024
A novel method to guide biomarker combinations to optimize the sensitivitySeyyed Mahmood Ghasem, Johannes F Fahrmann, Samir Hanash, et al.
Bioinformatics (Oxford, England)|January 17, 2023
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomesLicai Huang, James P Long, Ehsan Irajizad, et al.
Cancer Prevention Research (Philadelphia, Pa.)|December 2, 2024
A Novel Sensitivity Maximization at a Given Specificity Method for Binary ClassificationsSeyyed Mahmood Ghasemi, Chunhui Gu, Johannes F Fahrmann, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|September 25, 2025
SMAGS-LASSO: A Novel Feature Selection Method for Sensitivity Maximization in Early Cancer DetectionHamid Khoshfekr Rudsari, Sara Khorami-Sarvestani, Johannes F Fahrmann, et al.
Briefings in Bioinformatics|September 1, 2025
AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genesHongxu Zhu, Amir Asiaee, Leila Azinfar, et al.
Biorxiv : the Preprint Server for Biology|March 31, 2025
AUC-PR is a More Informative Metric for Assessing the Biological Relevance of In Silico Cellular Perturbation Prediction ModelsHongxu Zhu, Amir Asiaee, Leila Azinfar, et al.
Pageof 6