Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Shaya Akbarinejad

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Scientific Reports|February 23, 2021
Immune classification of clear cell renal cell carcinomaSumeyye Su, Shaya Akbarinejad, Leili Shahriyari
BMC Bioinformatics|June 20, 2021
SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networksShaya Akbarinejad, Mostafa Hadadian Nejad Yousefi, Maziar Goudarzi
Softwarex|July 5, 2022
TumorDecon: A digital cytometry softwareRachel A Aronow, Shaya Akbarinejad, Trang Le, et al.
World Neurosurgery: X|March 18, 2024
Development of a regional-based predictive model of incidence of traumatic spinal cord injury using machine learning algorithmsSeyed Behnam Jazayeri, Seyed Farzad Maroufi, Shaya Akbarinejad, et al.
Journal of Clinical Medicine|December 9, 2020
Data Driven Mathematical Model of Colon Cancer ProgressionArkadz Kirshtein, Shaya Akbarinejad, Wenrui Hao, et al.
Genome Medicine|June 23, 2026
Tumor-naïve ctDNA detection with deep learning-enhanced error suppression for sensitive mutation callingShaya Akbarinejad, Sarah Doppler, Jos de Graaf, et al.
Genome Medicine|June 19, 2026
VariantMedium: sensitive and generalizable somatic point mutation calling with 3D DenseNets trained and evaluated on experimental dataÖzlem Muslu, Thomas Bukur, Pablo Riesgo-Ferreiro, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Scientific Reports|February 23, 2021
Immune classification of clear cell renal cell carcinomaSumeyye Su, Shaya Akbarinejad, Leili Shahriyari
BMC Bioinformatics|June 20, 2021
SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networksShaya Akbarinejad, Mostafa Hadadian Nejad Yousefi, Maziar Goudarzi
Softwarex|July 5, 2022
TumorDecon: A digital cytometry softwareRachel A Aronow, Shaya Akbarinejad, Trang Le, et al.
World Neurosurgery: X|March 18, 2024
Development of a regional-based predictive model of incidence of traumatic spinal cord injury using machine learning algorithmsSeyed Behnam Jazayeri, Seyed Farzad Maroufi, Shaya Akbarinejad, et al.
Journal of Clinical Medicine|December 9, 2020
Data Driven Mathematical Model of Colon Cancer ProgressionArkadz Kirshtein, Shaya Akbarinejad, Wenrui Hao, et al.
Genome Medicine|June 23, 2026
Tumor-naïve ctDNA detection with deep learning-enhanced error suppression for sensitive mutation callingShaya Akbarinejad, Sarah Doppler, Jos de Graaf, et al.
Genome Medicine|June 19, 2026
VariantMedium: sensitive and generalizable somatic point mutation calling with 3D DenseNets trained and evaluated on experimental dataÖzlem Muslu, Thomas Bukur, Pablo Riesgo-Ferreiro, et al.
Pageof 1