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

Akram Vasighizaker

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Computational Biology and Chemistry|June 12, 2018
C-PUGP: A cluster-based positive unlabeled learning method for disease gene prediction and prioritizationAkram Vasighizaker, Saeed Jalili
Plos One|December 12, 2019
A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancerAkram Vasighizaker, Alok Sharma, Abdollah Dehzangi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 16, 2021
Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding AlgorithmMusab Naik, Luis Rueda, Akram Vasighizaker
Genes|March 29, 2023
Cell Type Annotation Model Selection: General-Purpose vs. Pattern-Aware Feature Gene Selection in Single-Cell RNA-Seq DataAkram Vasighizaker, Yash Trivedi, Luis Rueda
Scientific Reports|January 8, 2022
Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq dataAkram Vasighizaker, Saiteja Danda, Luis Rueda
Briefings in Bioinformatics|April 12, 2024
SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunicationAkram Vasighizaker, Sheena Hora, Raymond Zeng, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Computational Biology and Chemistry|June 12, 2018
C-PUGP: A cluster-based positive unlabeled learning method for disease gene prediction and prioritizationAkram Vasighizaker, Saeed Jalili
Plos One|December 12, 2019
A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancerAkram Vasighizaker, Alok Sharma, Abdollah Dehzangi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 16, 2021
Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding AlgorithmMusab Naik, Luis Rueda, Akram Vasighizaker
Genes|March 29, 2023
Cell Type Annotation Model Selection: General-Purpose vs. Pattern-Aware Feature Gene Selection in Single-Cell RNA-Seq DataAkram Vasighizaker, Yash Trivedi, Luis Rueda
Scientific Reports|January 8, 2022
Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq dataAkram Vasighizaker, Saiteja Danda, Luis Rueda
Briefings in Bioinformatics|April 12, 2024
SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunicationAkram Vasighizaker, Sheena Hora, Raymond Zeng, et al.
Pageof 1